# Tag: kaggle

## Topic Modelling with LDA: A Comprehensive Guide for Students

2/8/24, 5:59 PMtopic-modelling-lda.ipynb – Colaboratory 1/5# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: # For example, here’s several helpful packages to load import numpy as np # linear algebra import pandas as pd # data processing, CSV…

Continue Reading Topic Modelling with LDA: A Comprehensive Guide for Students

## How to Analyze Coronavirus RNA with Python (Part 2: Installing Biopython) | by Proto Bioengineering | Feb, 2024

The Biopython logo Biopython is a set of tools for doing all sorts of genomics tasks: reading DNA and RNA, aligning sequences, analyzing similarities between sequences, and more. This is the second part in a series on analyzing coronavirus RNA with Python. Here we’ll install Biopython and use it to…

Continue Reading How to Analyze Coronavirus RNA with Python (Part 2: Installing Biopython) | by Proto Bioengineering | Feb, 2024

## Week 1 – Data Selection (pdf)

Week 1 – Data Selection Requirement: 1. Create a team of 3-5 students and make sure that everyone joins the Canvas’ “Group Project” groups. – done 2. Submit a 1-page data description. A. Each group member proposes one or two topics. I. List Student Name, Data titles, List data sources…

Continue Reading Week 1 – Data Selection (pdf)

## Solved Load the data set hmeq_small.csv (Nicapotato.

Load the data set hmeq_small.csv (Nicapotato. ﻿”Vallala, Ajay. “HMEQ_Data.” Kaggle, 25 ﻿Mar. 2018, ﻿www.kaggle.com/ajay1735/hmeq–data.) ﻿as a data frame. Create a new data frame with all the rows with missing data deleted. Create a second data frame with all missing data filled in with the mean value of the column. Find…

## How to use ChatGPT for data analysis and research

Do you have large PDFs, Excel spreadsheets, CSV files or mountains of data you need to analyze quickly and effectively. Using AI can quickly provide results you can use to track trends, opportunities and issues that may be happening in your business market or sector. Today in the fast-paced world…

Continue Reading How to use ChatGPT for data analysis and research

## Master Machine Learning with Pre-Trained Models on Kaggle

Master Machine Learning with Pre-Trained Models on Kaggle Introduction Kaggle and Pre-trained Models Understanding Pre-trained Models Accessing Pre-trained Models on Kaggle Filtering Pre-trained Models Using Search on Kaggle Models Exploring Model Details Using Pre-trained Models in Kaggle Notebooks Running Pre-trained Models on GPUs Examples of Using Pre-trained Models Conclusion In…

Continue Reading Master Machine Learning with Pre-Trained Models on Kaggle

## 10 Kaggle Competitions Every Young Data Scientist Should Check Out

Unlike high school lessons and exams, competitions can offer some much-needed practical experience. Participating in data science competitions not only allows you to hone your coding and analytical skills but also provides hands-on experience in tackling real-world problems. These competitions act as a dynamic playground where you can put your…

Continue Reading 10 Kaggle Competitions Every Young Data Scientist Should Check Out

## Leveraging Google’s Data and AI Technologies with Kaggle

Leveraging Google’s Data and AI Technologies with Kaggle Introduction The Growth of Kaggle within Google The Kaggle Community 3.1 The Technical Professional Community 3.2 Learning and Skill Enhancement 3.3 Sharing and Collaboration Kaggle Products and Features 4.1 Kernels: An in-browser Coding Environment 4.2 Forums: Active Technical Discussion Platform 4.3 Events:…

## Kaggle Days Meetup in Toronto

Kaggle Days Meetup Toronto is the first Meetup from the worldwide series of Kaggle Days Meetups, gathering a community of Data Science enthusiasts and Kaggle fans. Kaggle Days Meetup is a meetup & workshop that deals with Kaggle-related topics organized by LogicAI, headquartered in Poland, and is held in major…

Continue Reading Kaggle Days Meetup in Toronto

## Solved Submission Notes:You need to solve this task using

Submission Notes: You need to solve this task using XGBoost ML Algorithm, You need to upload a Jupyter Notebook, Follow the remaining steps below. Question #1: (15 ﻿Points) Kaggle hosts a data set which contains the price at which houses were sold for King County, which includes Seattle – ﻿city…

## Solved You are expected to visit data repositories such as

You are expected to visit data repositories such as Kaggle, UCI Machine learning repository, PROMISE, etc. and extract three different datasets in the areas of classification, clustering and regression respectively. Note that the dataset for classification should be unbalanced [3 ﻿marks]. • ﻿Preprocess the datasets based on the following issues…

Continue Reading Solved You are expected to visit data repositories such as

## Shocking Support for Bin Laden Emerging Among Young Americans Is Called the Fruit of America’s Educational Priorities

A new poll is sounding alarm bells for the future of liberty as young Americans express growing support for Osama bin Laden and the 9/11 attacks. It’s the fruit of an education system with an increasingly hard-left bent, one that casts Western Civilization as the world’s repository of evil.  J.L….

Continue Reading Shocking Support for Bin Laden Emerging Among Young Americans Is Called the Fruit of America’s Educational Priorities

## How I Won Singapore’s GPT-4 Prompt Engineering Competition | by Sheila Teo | Dec, 2023

A deep dive into the strategies I learned for harnessing the power of Large Language Models Celebrating a milestone — The real win was the priceless learning experience! Last month, I had the incredible honor of winning Singapore’s first ever GPT-4 Prompt Engineering competition, which brought together over 400 prompt-ly…

Continue Reading How I Won Singapore’s GPT-4 Prompt Engineering Competition | by Sheila Teo | Dec, 2023

## Supercharge Your Kaggle Performance with Weights and Biases

Supercharge Your Kaggle Performance with Weights and Biases Table of Contents Introduction Exploring Kaggle datasets with Weights & Biases Storing versions of datasets and models using Artifacts Comparing different runs of models Visualizing data using matplotlib Making plots interactive with Weights & Biases Saving and uploading datasets with Artifacts Versioning…

## memory_network_bidir_momentum.py – taxi – Winning entry to the Kaggle taxi competition

memory_network_bidir_momentum.py (1581B) 1 from blocks.initialization import IsotropicGaussian, Constant 2 from blocks.algorithms import Momentum 3 4 from blocks.bricks import Tanh 5 6 import data 7 from model.memory_network_bidir import Model, Stream 8 9 10 dim_embeddings = [ 11 (‘origin_call’, data.origin_call_train_size, 10), 12 (‘origin_stand’, data.stands_size, 10), 13 (‘week_of_year’, 52, 10), 14 (‘day_of_week’, 7,…

Continue Reading memory_network_bidir_momentum.py – taxi – Winning entry to the Kaggle taxi competition

## Current and Future Analysis of Data Mining Tools Market Types and Applications, Drivers, Ongoing Trends, Future Demand, Challenges, Top Companies & Forecast 2023-2030 |Oracle Corporation (U.S.), IBM Corporation (U.S.)

“Worldwide Market Reports offers a UP-TO 70% discount on Data Mining Tools Market Reports on Single User Access and Unlimited User Access“ The latest research study released by Worldwide Market Reports on “Data Mining Tools Market” with 100+ pages of analysis on business strategy taken up by emerging industry players, geographical scope,…

Continue Reading Current and Future Analysis of Data Mining Tools Market Types and Applications, Drivers, Ongoing Trends, Future Demand, Challenges, Top Companies & Forecast 2023-2030 |Oracle Corporation (U.S.), IBM Corporation (U.S.)

## Master Image Segmentation with PyTorch U-NET

Master Image Segmentation with PyTorch U-NET Introduction Building the Model Preprocessing the Data Loading the Data Training the Model Evaluating Model Performance Saving and Loading the Model Visualizing Predictions Conclusion Frequently Asked Questions In this article, we will learn how to perform image segmentation in PyTorch. We will start by…

Continue Reading Master Image Segmentation with PyTorch U-NET

What is Kaggle Kaggle is a platform where machine learning and data science enthusiasts share their knowledge through data sets and free resources. Kaggle is very helpful for Computer science and Engineering Students and IT Professionals to develop projects in various fields such as Machine Learning, Data Science, Artificial intelligence,…

## CNN: building blocks with PyTorch

In this article we provide an overview on the Convolutional Neural Networks (CNNs) main building features and how to implement them in PyTorch. This article was written together with chiara giovagnoli Image taken from Unsplash A Convolutional Neural Network (CNN) is a type of deep learning algorithm designed for processing…

Continue Reading CNN: building blocks with PyTorch

## Insights from the Global Wheat Challenge on deep learning and dataset diversity

Sample from the UQ Frame dataset. Credit: Plant Phenomics Crowdsourcing has become pivotal in scientific research, particularly in data-intensive fields like plant phenotyping, leveraging platforms like Kaggle for data analysis and machine learning challenges. While effective in controlled environments, the robustness and generalizability of deep learning methods in plant phenotyping,…

Continue Reading Insights from the Global Wheat Challenge on deep learning and dataset diversity

## SRK Unveils Tamil-Llama

The Kaggle Master Abhinand Balachandran has launched “Tamil-Llama,” an Indic LLM engineered specifically to elevate the Tamil language domain. This AI model is built on top of Meta’s Llama 2. Check out the GitHub Repository here. Tamil-Llama is meticulously crafted, integrating additional Tamil tokens and harnessing the LoRA methodology for…

## Which two statements describe the Kaggle web site? (Choose two.)

Last Updated on December 18, 2023 by InfraExam Which two statements describe the Kaggle web site? (Choose two.) It provides many data sets with minimum charges. It provides many coding samples for creating dynamic advertisement products. It offers community machine learning competitions among data science enthusiasts. It enables data analysis…

Continue Reading Which two statements describe the Kaggle web site? (Choose two.)

## Top 10 SQL projects with Datasets that you can practice and can add in your resume | by Data Analyst | Dec, 2023

Top 10 SQL projects with Datasets that you can practice and can add in your resume 📌1. Social Media Analytics:(www.kaggle.com/amanajmera1/framingham-heart-study-dataset) 🚀2. Web Analytics:(www.kaggle.com/zynicide/wine-reviews) 📌3. HR Analytics:(www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset) 🚀4. Healthcare Data Analysis:(www.kaggle.com/cdc/mortality) 📌5. E-commerce Analysis:(www.kaggle.com/olistbr/brazilian-ecommerce) 🚀6. Inventory Management:(www.kaggle.com/datasets?search=inventory+management) 📌 7.Customer Relationship Management:(www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data) 🚀8. Financial Data Analysis:(www.kaggle.com/awaiskalia/banking-database) 📌9. Supply Chain Management:(www.kaggle.com/shashwatwork/procurement-analytics) 🚀10. Analysis…

Continue Reading Top 10 SQL projects with Datasets that you can practice and can add in your resume | by Data Analyst | Dec, 2023

## python – Custom Loss Functions in PyTorch: A Comprehensive …

Introduction Loss functions are the driving force behind all machine learning algorithms. They quantify how well our models are performing by calculating the difference between the predicted and actual outcomes. The goal of every machine learning algorithm is to minimize this loss function, thereby improving the model’s accuracy. Various libraries,…

Continue Reading python – Custom Loss Functions in PyTorch: A Comprehensive …

## 10 Free Data Sources for Data Science in 2024

Here are 10 free data sources that data scientists can leverage for their projects and analyses Data is the fuel that powers the engine of data science, and having access to diverse and reliable datasets is essential for meaningful analysis and insights. In 2024, several free data sources will continue…

Continue Reading 10 Free Data Sources for Data Science in 2024

## Kaggle X – na this aint got any description – Hurdles: While talking about hurdles the first

Hurdles: While talking about hurdles the first difficulty comes at the computational level as data size in practical life id ever increasing thus limited extent of cpu and gpu functionality plays a big role also due to this the cost and time for data ingestion , data cleaning increases considerably…

Continue Reading Kaggle X – na this aint got any description – Hurdles: While talking about hurdles the first

## read the instructions i want you to use PyTorch to

Transcribed image text: CST4812 – Natural Language Processing Final Project Project Description: The final project is open ended. You may complete this either as an individual or as a group with up to two total nenbers. The purpose of the projectlis to use PyTorch to indenent any profect involving an…

Continue Reading read the instructions i want you to use PyTorch to

## Best Google Colab Alternatives 2024: enhance collaborative coding

There are the best Google Colab Alternatives that you can consider. According to data scientists and people working on machine learning projects, Google Colab is a popular platform because it is easy to use, cheap, and works well with Google Drive. Even though Google Colab is very popular, there are…

Machine learning is only possible when there’s enough of data available. Data collection is one of the most vital components of the machine learning lifecycle, but it’s also the one that’s often overlooked. Web scraping—programmatically collecting data from web pages—is often the primary technique used to collect information from the…

## 4 Steps that will help you make the best movie of all times | by Shay Shalem | Dec, 2023

As a filmmaker who wants to have a blockbuster Hollywood movie, you think to yourself, what is the secret? Besides the fact that you need a good story, what else is important? Here, I’ve collected the secret ingredients that nobody tells you but really matter to succeed. And to break…

Continue Reading 4 Steps that will help you make the best movie of all times | by Shay Shalem | Dec, 2023

## Insights into Regional Dominance and Upcoming Challenges| With 86 Pages

PRESS RELEASE Published December 14, 2023 Latest Research Report On “AI Training Dataset Market” 2024 Analysis, Future Projection, Forecast By 2031 Global “AI Training Dataset Market” Research Report 2024-2031 is a factual overview and in-depth study of the current and future market of the AI Training Dataset industry. The AI Training…

Continue Reading Insights into Regional Dominance and Upcoming Challenges| With 86 Pages

## r – Add dataset to kaggle notebook

This is my R code:#loading the necessary libraries library(tidyverse) library(ggplot2) # importing the data hotel_bookings <- read.csv(“hotel_bookings.csv”) However when i run this code the notebook cannot find the dataset. The dataset is in this link:www.kaggle.com/datasets/mojtaba142/hotel-booking?select=hotel_booking.csv. how do i add this dataset so that i can run the above codes without…

Good news folks! Google’s Gemini Pro and Gemini Pro Vision models are available on Kaggle for Free. That means you can perform several AI tasks in Kaggle Notebooks for free. Gemini models are top-of-the-line generative AI models right now from Google. Gemini models have exceptional image, audio, video, and text…

## how do i overcome getting a submission error on kaggle

I am getting an error on submission of the titanic dataset to kaggle. The submission requires 418 rows of header of passengerId and survived. After splitting the data using train_test_split on the train data, I am getting 179 rows for the X_test. so my predictions are based on the 179…

Continue Reading how do i overcome getting a submission error on kaggle

## Free Sources to Get Datasets for Data Science Projects

Explore the free sources that will help to get the datasets for data science projects Data science is a dynamic discipline where analysis, learning, and innovation depend heavily on the availability of diverse and high-quality datasets. This post examines several free resources that serve data scientists and provide a wealth…

Continue Reading Free Sources to Get Datasets for Data Science Projects

## 5 Games That Will Boost Your Data Science Abilities

Game On, 5 fun and effective games to boost your data science abilities Mastering data science requires a combination of theoretical knowledge and hands-on experience. While traditional learning methods play a crucial role, incorporating games into your routine can add an element of fun and practical application. Kaggle Competitions:  Kaggle…

## Mastering Text Analysis with LSTM Networks Using PyTorch | by Wade | Dec, 2023

A Comprehensive Guide to Building Your Own Text Classifier Understanding language is a complex task, not just for computers, but even for us humans. How do we interpret sentences, categorize news, or even decide if a text is positive or negative? This is the realm of text classification, and today,…

Continue Reading Mastering Text Analysis with LSTM Networks Using PyTorch | by Wade | Dec, 2023

## Step-by-Step Guide to Your First Machine Learning Model with PyTorch | by Tristin | Dec, 2023

Mastering the Basics of Linear Regression in PyTorch Have you ever wondered how to create a machine learning model that can predict outcomes based on data? If you’re new to the world of machine learning, or if you’re familiar with it but haven’t yet dabbled in PyTorch, then you’re in…

Continue Reading Step-by-Step Guide to Your First Machine Learning Model with PyTorch | by Tristin | Dec, 2023

## python – Updating a notebook in Kaggle

I currently have a notebook I’ve been working on locally, and I pushed it to kaggle with the command in terminal: > kaggle kernels push -p real_estate Everything worked fine the first time I pushed it, but now that I updated the code in the notebook, when I run the…

Continue Reading python – Updating a notebook in Kaggle

## Solved Titanic Dataset from Kaggle**************************

Titanic Dataset from Kaggle************************** Preparatory of data for visualization – Knime • Clean/prep the data for visualizations• Draft a short write-up plan• Generate visualizations Proposal Plan on the analytical model• Draft 2-3 research questions based on the visualizations for further investigation• Identify the analytical model (data mining technique), min 2…

Continue Reading Solved Titanic Dataset from Kaggle**************************

## AI Training Dataset Market Growing Popularity & Emerging Trends| Google, Microsoft, Sparta Science

PRESS RELEASE Published December 13, 2023 The latest study released on the Global AI Training Dataset Market by HTF MI evaluates market size, trend, and forecast to 2029. The AI Training Dataset market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry…

Continue Reading AI Training Dataset Market Growing Popularity & Emerging Trends| Google, Microsoft, Sparta Science

## Undersampling Techniques Using Python – KDnuggets

With the evolving digital landscape, a wealth of data is being generated and captured from diverse sources. While immensely valuable, this vast universe of information often reflects the imbalanced distribution of real-world phenomena. The problem of imbalanced data is not merely a statistical challenge; it has far-reaching implications for the…

Continue Reading Undersampling Techniques Using Python – KDnuggets

## Whether to tune H2O AutoML Learner node hyperparameters? – KNIME Analytics Platform

Hi KNIME Support. Does this mean that all models in the H2O AutoML Learner node are automatically trained by tuning the hyperparameters when you run the node? An answer would be appreciated. @JaeHwanChoi this should be the case: As part of the learning process, hyperparameters are automatically optimized by H2O…

Continue Reading Whether to tune H2O AutoML Learner node hyperparameters? – KNIME Analytics Platform

## Top 10 Kaggle ML Projects To Work On In 2024 To Become Data Scientists

ML projects are the first steps in becoming a Data Scientist in the field of Machine Learning. These projects give them hands-on experience dealing with real-world datasets, which helps them improve their data science abilities. In addition to learning how to handle big information, working on these projects helps data…

Continue Reading Top 10 Kaggle ML Projects To Work On In 2024 To Become Data Scientists

## How to boost Kaggle performance with a GPU

Did you know you could significantly increase the speed of training a deep-learning model in Kaggle by adding a GPU? Tests show that users can enjoy up to 13 times faster performance when model training compared to using a great CPU — and it’s not that difficult to add a…

Continue Reading How to boost Kaggle performance with a GPU

## Train- and val losses drop then oscillates – help appreciated – General Discussion

Hey guys! Like the title says, I would love some help on this quite general problem for me. Too often while building models (mostly Keras), I end up in a situation where I manage to get both training- and val loss down to about 0.5 (this time for a rather…

Continue Reading Train- and val losses drop then oscillates – help appreciated – General Discussion

## Developing Kaggle Notebooks

Overview of this book Developing Kaggle Notebooks is here to introduce you to the wide world of data analysis, with a focus on using Kaggle Notebooks resources to help you achieve mastery in this field as well as rising to the top in the Kaggle Notebooks tier. The book is…

## PPE Detection Market 2024 Size Global Growth, Trends, Industry Analysis, Key Players and Forecast to 2030

PRESS RELEASE Published December 11, 2023 Global |100 Pages| Report on “PPE Detection Market” offers an In-Depth Research Analysis (2024-2030) which is expected to witness remarkable growth in the coming years. The implementation of new technologies and innovative solutions will drive the market’s revenue generation and increase its market share…

Continue Reading PPE Detection Market 2024 Size Global Growth, Trends, Industry Analysis, Key Players and Forecast to 2030

## Kaggle Days Meetup in Surat

Revolutionizing Operations with AI: Kaggle Days Meetup in Surat Table of Contents Introduction The Role of AI in Banking and Finance Use Cases of AI in Operations Teams 3.1. CusTomer Care Support 3.2. Fraud Detection and Prevention 3.3. Anomaly Detection 3.4. Loan Processing Implementing AI in Operations 4.1. Identifying the…

Continue Reading Kaggle Days Meetup in Surat

## Top 10 Kaggle ML Projects to Become Data Scientists in 2024 | by Analyticsinsight | Dec, 2023

The first steps toward becoming a Data Scientist in the field of Machine Learning are ML projects. Through practical experience working with real-world datasets, these projects help them hone their data science skills. Working on these projects helps data scientists gain a greater understanding of machine learning techniques and their…

Continue Reading Top 10 Kaggle ML Projects to Become Data Scientists in 2024 | by Analyticsinsight | Dec, 2023

## Where To Find Datasets For Machine Learning

Government Websites Government websites are excellent sources of datasets for machine learning projects. Many government organizations collect a vast amount of data covering a wide range of subjects, from demographics to climate change. These datasets are often comprehensive, reliable, and freely accessible, making them valuable resources for researchers, analysts, and…

Continue Reading Where To Find Datasets For Machine Learning

## What are three resources provided by the Kaggle web site?

Last Updated on December 11, 2023 by InfraExam What are three resources provided by the Kaggle web site? (Choose three.) data analysis integration with Excel data analysis integration with Tableau API for major social media networks publicly available datasets community competitions code Explanation & Hint: Kaggle offers many resources for…

Continue Reading What are three resources provided by the Kaggle web site?

## For this question, use the codes posted in Module 6 for the Titanic dataset. a) In the titanic dataset, introduce a new feature called “Child”. The value of the row should be one if Ages=15 else it should be 0. Find the accuracy using all the models discussed in Module 6. Report the accuracy of each model. Submit your results to Kaggle and report which model performs the best on Kaggle. b) We observed in feature scaling that the “Parch” column is one of the weakest features. Drop this feature from the data and check whether the accuracy improves or not. c) Test the predictions of all the models discussed in Module 6 and create a dataframe of model name, accuracy and standard deviation. Perform 10-fold cross-validation for each model. Determine which model is the best. d) Lastly, I want you to be creative. Use the model that gave you the maximum score on Kaggle and try to modify it so that your score increases on Kaggle. Also keep an eye on the standard deviation. If the accuracy increases and the standard deviation decreases for your best model you will most likely be overfitting (so called bias-variance tradeoff) and this will reduce your score on Kaggle. You can add features, try fine tuning, change algorithms, etc. Describe briefly if any changes you made improved your score.

For this question, use the codes posted in Module 6 for the Titanic dataset. a) In the titanic dataset, introduce a new feature called “Child”. The value of the row should be one if Ages=15 else it should be 0. Find the accuracy using all the models discussed in Module…

Continue Reading For this question, use the codes posted in Module 6 for the Titanic dataset. a) In the titanic dataset, introduce a new feature called “Child”. The value of the row should be one if Ages=15 else it should be 0. Find the accuracy using all the models discussed in Module 6. Report the accuracy of each model. Submit your results to Kaggle and report which model performs the best on Kaggle. b) We observed in feature scaling that the “Parch” column is one of the weakest features. Drop this feature from the data and check whether the accuracy improves or not. c) Test the predictions of all the models discussed in Module 6 and create a dataframe of model name, accuracy and standard deviation. Perform 10-fold cross-validation for each model. Determine which model is the best. d) Lastly, I want you to be creative. Use the model that gave you the maximum score on Kaggle and try to modify it so that your score increases on Kaggle. Also keep an eye on the standard deviation. If the accuracy increases and the standard deviation decreases for your best model you will most likely be overfitting (so called bias-variance tradeoff) and this will reduce your score on Kaggle. You can add features, try fine tuning, change algorithms, etc. Describe briefly if any changes you made improved your score.

## How Do I Become A Machine Learning Engineer

What is a Machine Learning Engineer? A machine learning engineer is a trained professional who combines expertise in computer science, mathematics, and statistics to develop and implement machine learning models and algorithms. Machine learning engineers play a crucial role in the field of artificial intelligence, as they design systems that…

Continue Reading How Do I Become A Machine Learning Engineer

## Solved Log in to Kaggle (create an account if you don’t have

Log in to Kaggle (create an account if you don’t have one yet), then go to the TalkingData Kaggle Competition. After accepting the agreement to the competition, download the following data files and extract them into the same folder: app_labels label_categories phone_brand_device_model events app_events gender_age_train Then, complete the following tasks:…

## Instructions For the following questions, refer to

Instructions For the following questions, refer to this car pricing dataset from Kaggle (www.kaggle.com/datasets/hellbuoy/car-price-prediction/). This spreadsheet contains numerous data features about cars and their selling price. The response you will try to predict is price. The predictors include all remaining columns except CarName and car ID. To earn full credit,…

Continue Reading Instructions For the following questions, refer to

## Gauging the Market: Optiver’s ‘Trading at the Close’ Kaggle Competition | by Joehbridges | Dec, 2023

A (Stock) Market Image By Joseph Bridges, Ali Kahn, Monica Liou, and Abhijit Anil This article summarizes our exploration in the Kaggle competition “Trading at the Close” hosted by Optiver between September 20th and December 20th, 2023 as part of the course Advanced Machine Learning (University of Texas at Austin,…

Continue Reading Gauging the Market: Optiver’s ‘Trading at the Close’ Kaggle Competition | by Joehbridges | Dec, 2023

## 8 Major Challenges Machine Learning Practitioners Face | OTS News

Terms like “Machine Learning” or “Artificial Intelligence” are still not quite familiar to most of us. Many people think of “Skynet” when they first hear these words. However, let me reassure you that there are no chances of a self-aware bot attack if you are dealing with machine learning. Although…

Continue Reading 8 Major Challenges Machine Learning Practitioners Face | OTS News

## NN intro no animation.pdf – Neural Network Announcements Kaggle competition will be released today Task: sentiment analysis r0: Bromwell High is a

Announcements Kaggle competition will be released today Task: sentiment analysis r0: Bromwell High is a cartoon comedy. It ran at the same time as some other programs about school life, such as “Teachers”. My 35 years in the teaching profession lead me to believe that Bromwell High’s satire is much…

Continue Reading NN intro no animation.pdf – Neural Network Announcements Kaggle competition will be released today Task: sentiment analysis r0: Bromwell High is a

## Solved Python to address diverse questions in data

Python to address diverse questions in data science. Hence, this final project will evaluate your ability to communicate findings from a data science project in a written report with more emphasis on analysis. Your final paper should describe the application of statistical learning approaches discussed in class to a Kaggle…

## Nikki Haley Claims 30 Minutes Of TikTok Makes Users 17 Percent More Antisemitic In Baffling Moment From Republican Primary Debate

There are many criticisms one could make of TikTok and the effect it’s had on society, but saying that it makes users exactly 17 percent more antisemitic is not one of them, according to viewers of Nikki Haley’s performance at yesterday’s Republican Primary debate. During the debate, which exclusively featured…

Continue Reading Nikki Haley Claims 30 Minutes Of TikTok Makes Users 17 Percent More Antisemitic In Baffling Moment From Republican Primary Debate

## Use logistic regression to predict on multiclass probabilities using Kaggle’s cirrhosis dataset | by Tracyrenee | Dec, 2023

According to the NHS website, cirrhosis is scarring of the liver caused by continuous, long-term liver damage. Scar tissue replaces healthy tissue in the liver and prevents the liver from working properly. The damage caused by cirrhosis can’t be reversed and can eventually become so extensive that your liver stops…

Continue Reading Use logistic regression to predict on multiclass probabilities using Kaggle’s cirrhosis dataset | by Tracyrenee | Dec, 2023

## Haley Says TikTok Makes Viewers More Antisemitic

CLAIM: Nikki Haley says TikTok makes those who consume it more likely to hold antisemitic views than they were before. VERDICT: PARTLY TRUE. There is one recent survey to back that up, though there are questions about its methodology. Former UN Ambassador and South Carolina governor Haley called for a…

Continue Reading Haley Says TikTok Makes Viewers More Antisemitic

## Top 10 Kaggle Machine Learning Projects to Become Data Scientist in 2024

Image by Editor   In the ever-evolving landscape of technology, the role of data scientists and analysts has become crucial for every organization to find data-driven insights for decision-making. Kaggle, a platform that brings together data scientists and machine learning engineers enthusiasts, becomes a central platform for improving data science…

Continue Reading Top 10 Kaggle Machine Learning Projects to Become Data Scientist in 2024

## Where Did Her Stat Come From?

Republican presidential candidate Nikki Haley alleged that every 30 minutes spent on TikTok increases antisemitism, making a user “17% more antisemitic, more pro-Hamas” during Wednesday night’s primary debate. “We really do need to ban TikTok once and for all, and let me tell you why: for every 30 minutes that…

Continue Reading Where Did Her Stat Come From?

## using Iris.csv dataset found on kaggle or github, run

using Iris.csv dataset found on kaggle or github, run a logistic regression a. ﻿Make a logistic regression model lating the probability an iris has Species=‘virginica’ to its ‘Petal.Length’ and classifying irises as ‘virginica’ or not ‘virginica’ (i.e. ﻿’versicolor’). – ﻿Read iris.csv into a DataFrame. – ﻿Make a second data frame that…

Continue Reading using Iris.csv dataset found on kaggle or github, run

## 2.ML Practice Question – Predict the price of the Uber ride from a given pickup point to the agreed

1. Predict the price of the Uber ride from a given pickup point to the agreed drop-off location. Perform following tasks: 1. Pre-process the dataset. 2. Identify outliers. 3. Check the correlation. 4. Implement linear regression and random forest regression models. 5. Evaluate the models and compare their respective scores…

Continue Reading 2.ML Practice Question – Predict the price of the Uber ride from a given pickup point to the agreed

## Unit 6 MTE MCQs.pdf – Unit 6 SET-1 1. What is Kaggle? A. An online platform for data science and machine learning competitions. B. A social networking

Unit 6 SET-1 1.What is Kaggle? A. An online platform for data science and machine learning competitions. B. A social networking platform for data scientists. C. A data analytics tool for businesses. 2. What kind of datasets are available on Kaggle? 3. What are Kaggle Kernels? 4. Can users upload…

Continue Reading Unit 6 MTE MCQs.pdf – Unit 6 SET-1 1. What is Kaggle? A. An online platform for data science and machine learning competitions. B. A social networking

## New deep learning challenge to estimate breas

image:  Graphical abstract of an advanced architecture for accurate mammogram segmentation. More information at github.com/uefcancer/Deepdensity view more  Credit: UEF Cancer AI research group. A new deep learning challenge has been launched by the UEF Cancer AI research team, led by senior researcher Hamid Behravan, PhD, and funded by Sitra ,…

Continue Reading New deep learning challenge to estimate breas

## AI Training Dataset Market Research

PRESS RELEASE Published December 6, 2023 Market Overview:AI Training Dataset market looks promising in the next 5 years. The global AI Training Dataset market was estimated at USD 3153.07 million, and it’s anticipated to reach USD 11596.73 million in 2031, with a CAGR of 24.24% during the forecast years.This AI…

Continue Reading AI Training Dataset Market Research

## Understanding Google Colab commands to running deep learning projects using Kaggle data API | by Sachinsoni | Dec, 2023

!mkdir -p ~/.kaggle!cp kaggle.json ~/.kaggle/ 1. About !mkdir -p ~/ .kaggle !mkdir -p ~/.kaggle: This line uses the mkdir command to create a directory named .kaggle in the user’s home directory (~). The -p option ensures that the command creates parent directories as needed. This command is used to make…

Continue Reading Understanding Google Colab commands to running deep learning projects using Kaggle data API | by Sachinsoni | Dec, 2023

## The Kaggle Book | Listen to Podcasts On Demand Free

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow…

Continue Reading The Kaggle Book | Listen to Podcasts On Demand Free

## AI Training Data Market research report covers future trends, past and present

Statsndata provides a well-defined report with in-depth analysis of the world’s hottest AI Training Data market. Get a sample report:www.statsndata.org/download-sample.php?id=4716 The report provides a comprehensive analysis of market fundamentals, including SWOT analysis, PESTEL, and valuable opinions from respected AI Training Data market leaders. It provides comprehensive analysis of market fundamentals…

Continue Reading AI Training Data Market research report covers future trends, past and present

## AI Training Dataset Market analysis until 2029

[Manhattan, New York – Dec 2023] — A ground-breaking market research report on the AI Training Dataset Market has been published by STATS N DATA, which aims to provide investors and organizations with a comprehensive overview of the global AI Training Dataset market. This comprehensive report goes beyond data –…

Continue Reading AI Training Dataset Market analysis until 2029

## Kaggle TPU roberta Finetuning – xla

I have pretrained roberta-base on dna promoter sequences of plants (working on a project). I am currently trying to finetune it on a downstream task of predicting gene expression values, basically a list of 8 values (corresponding to various tissues) from a single promoter sequence. This wasn’t possible on kaggle’s…

Continue Reading Kaggle TPU roberta Finetuning – xla

## Stream [Get] [EPUB KINDLE PDF EBOOK] The Kaggle Book: Data analysis and machine learning for competitive da by Daffodilitachidarcierww

published on 2023-12-04T09:26:45Z 📪 [PDF] The Kaggle Book: Data analysis and machine learning for competitive data science by Konrad Banachewicz,Luca Massaron,Anthony Goldbloom Thats work: [Get] The Kaggle Book: Data analysis and machine learning for competitive data science by Konrad Banachewicz,Luca Massaron,Anthony Goldbloom [EPUB KINDLE PDF EBOOK] 🧭 unitedmediaweb.blogspot.com/n6DuOdJf/1801817472 The Kaggle…

Continue Reading Stream [Get] [EPUB KINDLE PDF EBOOK] The Kaggle Book: Data analysis and machine learning for competitive da by Daffodilitachidarcierww

## Boost Your Data Science Skills: Exciting Projects to Elevate Your Expertise | by Daniel Chukwuji | Dec, 2023

Boost Your Data Science Skills: Exciting Projects to Elevate Your Expertise Are you aspiring to become a proficient data scientist or looking to enhance your existing skill set? Engaging in hands-on projects is an excellent way to solidify your knowledge and stay abreast of the dynamic field of data science….

Continue Reading Boost Your Data Science Skills: Exciting Projects to Elevate Your Expertise | by Daniel Chukwuji | Dec, 2023

## Kaggle vs Paperspace – Finding the Optimal Platform for Data Science and Machine Learning

In this ever evolving field of A.I., Data Science, and Machine Learning, the choice of platform plays a crucial role in determining the best path to take on any real world problem. In this era with so many options, both Kaggle and Paperspace have become prominent spaces for providing necessary…

Continue Reading Kaggle vs Paperspace – Finding the Optimal Platform for Data Science and Machine Learning

## 40 tech leaders met with TikTok’s CEO to raise concerns about Israel-Palestine content imbalance

TikTok has long attracted scrutiny from the United States government, with some officials deeming the Chinese-owned social media app a security risk. Increasingly, other influential groups are also criticizing the platform, claiming that it allows for a variety of harmful content to proliferate—especially content related to the current war between…

## Top 8 Deep Learning Project Ideas for AI Enthusiasts – Boost Your Skills in AI | by Derry Ross | Dec, 2023

AI, particularly Generative AI and Large Language Models like ChatGPT, Bard, and mid-journey, are surging in popularity these days. The backbone of these innovative tools is rooted in deep learning methods. For those eager to master deep learning, undertaking numerous projects is crucial. Those with some background might have already…

Continue Reading Top 8 Deep Learning Project Ideas for AI Enthusiasts – Boost Your Skills in AI | by Derry Ross | Dec, 2023

## The Top 5 Alternatives to GitHub for Data Science Projects

Image by Author   GitHub has long been the go-to platform for developers, including those in the data science community. It offers robust version control and collaboration features. However, data scientists often have unique requirements, such as handling large datasets, complex workflows, and specific collaboration needs that GitHub may not…

Continue Reading The Top 5 Alternatives to GitHub for Data Science Projects

## Spending 30 Minutes on TikTok a Day Significantly Increases the Chances of Holding Antisemitic and Anti-Israeli Beliefs, Study Finds

Shocking new data indicate that using TikTok a mere 30 minutes a day increases the chance of holding “antisemitic or anti-Israel” views by 17 percent, a number far above the same correlation on other social media platforms.  That’s the latest research from a data scientist, Anthony Goldbloom, who founded a…

Continue Reading Spending 30 Minutes on TikTok a Day Significantly Increases the Chances of Holding Antisemitic and Anti-Israeli Beliefs, Study Finds

## TOP 5 Sites for Those who want to get into Data Science

Data Science – не просто модное слово, но и очень перспективное направление. Современный мир завален данными, каждую секунду генерируется огромное количество информации, которая является источником ценных “инсайтов” для крупных организаций. Для успешной карьеры в этой области необходимо постоянно улучшать свои навыки и быть в курсе последних тенденций. В этой статье…

Continue Reading TOP 5 Sites for Those who want to get into Data Science

## Running Google Colab or Kaggle Notebooks on VSCODE

Boost Your Coding Efficiency: Running Google Colab or Kaggle Notebooks on VSCODE Introduction What is Google Colab? What is Kaggle? Limitations of Notebook Environments The Need for an IDE Introduction to Colab Code Setting up Colab Code Running Colab Code in Google Colab Running Colab Code in Kaggle Troubleshooting Common…

## looking for the executable source code along with the

looking for the executable source code along with the data and a document. The source code should contain components on data load, data preprocessing, machine learning algorithms and cross validation evaluation etc. The source code along with the data is 20 ﻿points. using this dataset from kaggle (www.kaggle.com/code/babatundejolayemi/watermelon–price–prediction–from–weight) ﻿I only…

Continue Reading looking for the executable source code along with the

## Hugging Face and Kaggle? (Machine Learning)

Did you know there is a whole community out there, similar to GitHub for data science? Most developers are familiar with OpenAI. Since ChatGPT exploded onto the scene, this is all you hear about on Twitter, YouTube, and various other platforms. As a backend engineer who mostly deals with web-related…

Continue Reading Hugging Face and Kaggle? (Machine Learning)

## Solved Below is data science salary 2023 from dataset

Below is data science salary 2023 from dataset kaggle: work_year experience_level employment_type job_title salary salary_currency salary_in_usd employee_residence remote_ratio company_location company_size 2023 SE FT Principal Data Scientist 80000 EUR 85847 ES 100 ES L 2023 MI CT ML Engineer 30000 USD 30000 US 100 US S 2023 MI CT ML Engineer…

Continue Reading Solved Below is data science salary 2023 from dataset

## COMPREHENSIVE ROADMAP TO BECOME A SUCCESSFUL DATA SCIENTIST WITHIN 6 MONTHS | by vinoth kumar | Nov, 2023

This roadmap covers both technical and soft skills and provides a detailed study plan,best resources, and milestones. It emphasizes the importance of putting in four hours of dedicated study every day, with three hours focused on technical skills and one hour on soft skills. During the first two weeks, the focus…

Continue Reading COMPREHENSIVE ROADMAP TO BECOME A SUCCESSFUL DATA SCIENTIST WITHIN 6 MONTHS | by vinoth kumar | Nov, 2023

## = kaggle + Create 19 130 Home V Competitions Datasets

= kaggle + Create 19 130 Home V Competitions Datasets Models <> Code Discussions Learn More Your Work VIEWED Animal Condition Mobile Phones Data Data Card Code (6) Discussion (1) How would you describe this dataset? Well-documented 0 0 # 1 2 phones_data.csv (115.92 KB) Well-maintained 1 Detail Compact Column…

Continue Reading = kaggle + Create 19 130 Home V Competitions Datasets

## Solved use this link table : Dog breeds (kaggle.com)Choose a

use this link table : Dog breeds (kaggle.com) Choose a table on a web page (use your discretion) and scrape the contents to a CSV file. The table selected must have at least 3 numerical columns and at least 15 rows. You must produce the following results for at least…

Continue Reading Solved use this link table : Dog breeds (kaggle.com)Choose a

## Microservices for beginners. Spam service. Python. Scikit-learn. Kafka.

Whole series: Microservices for beginners Microservices for beginners. Front-end service. Vue js. Socket.io. Microservices for beginners. Api Gateway service. Nest js. Kafka. Microservices for beginners. User service. Nest js. Mongodb. Kafka. Microservices for beginners. Message service. Nest js. Mongodb. Kafka. Microservices for beginners. Spam service. Python. Scikit-learn. Kafka. Microservices for…

Continue Reading Microservices for beginners. Spam service. Python. Scikit-learn. Kafka.

## we have our project and we want to fetch and update dataset in it from sources like kaggle etc .

Otwarty Opublikowano 2 godzin temu Płatność przy odbiorze • Kończy się 6 dni ₹600-1500 INR Płatność przy odbiorze Otwarty Płatność przy odbiorze • Kończy się 6 dni I am looking for a freelancer who can help us with fetching and updating textual dataset sources. We do not require any data…

Continue Reading we have our project and we want to fetch and update dataset in it from sources like kaggle etc .

## How I Earn \$300 Less Than In 40 Minutes | by Marie Claire | Nov, 2023

The biggest factor how to earn with AI is your time management which you spend in your daily life to watch many videos of earning money online but you have not gained a profit let’s talk about how i & you earn money using AI. Artificial Intelligence (AI) has rapidly…

Continue Reading How I Earn \$300 Less Than In 40 Minutes | by Marie Claire | Nov, 2023

## My Data Science Adventure: From Start to American Express | by Akalazu Clinton | Nov, 2023

Hey everyone! I want to tell you about my journey into data science. It’s a story that starts during a tough time in the world and in my life, but it’s full of learning and exciting changes. I hope it shows you that no matter what happens, you can still…

Continue Reading My Data Science Adventure: From Start to American Express | by Akalazu Clinton | Nov, 2023

## DSPT#109 | Pushing the Limits: From Kaggle and Experimentation to Production, Wed, Dec 6, 2023, 6:00 PM

Gear up for the last DSPT Lisbon Meetup in 2023! 🚀 We are bringing you a mix of serious insights and laid-back vibes that you won’t want to miss. Join us as Tiago dos Santos unveils his perspective on the data science process through the lens of continuous iteration. 🧪📊…

Continue Reading DSPT#109 | Pushing the Limits: From Kaggle and Experimentation to Production, Wed, Dec 6, 2023, 6:00 PM

## Free SDXL DreamBooth Training with Dual T4 GPUs on Kaggle

🖥️ Utilizing dual T4 GPUs simultaneously for SDXL training on a free Kaggle notebook can significantly improve performance and efficiency. 🚀 Selecting the right accelerator and internet settings is crucial for efficient training on Kaggle’s upgraded RAM and dual GPU T4 setup. 💰 The ability to do full fine tuning…

Continue Reading Free SDXL DreamBooth Training with Dual T4 GPUs on Kaggle

## Eesti Energia seeking to improve quality of forecasting using data science

TALLINN – Estonia’s state-owned energy group Eesti Energia has launched an international competition among data scientists to find a more accurate model for forecasting the consumption and production of electricity by small producers — a machine learning-based solution that aims to reduce costs for customers and promote green energy production. …

Continue Reading Eesti Energia seeking to improve quality of forecasting using data science

## Unleash Your Coding Skills with Kaggle and Lux AI

Unleash Your Coding Skills with Kaggle and Lux AI Introduction to Lux AI competition Getting Started Acquiring Lux locally Running the Simple AI Understanding the Bot Logic Replays and Analysis Expanding the City Building More Workers Handling Collisions Testing and Improving the Agent Final Thoughts and Submitting Welcome everybody to…