Skip to content

This repository contains a collection of various Machine Learning and Deep Learning projects for free download. These projects are hosted on Engineers Planet.

Notifications You must be signed in to change notification settings

madhurimarawat/Machine-Learning_Deep-learning_Free-Download

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning and Deep Learning Projects 📊

This repository contains a collection of various Machine Learning and Deep Learning projects for free download. These projects are hosted on Engineers Planet.

Logo

Stars Forks Issues Pull Requests Repo Size Contributors

Table of Contents

  1. A Learner's Guide to Model Selection and Tuning
  2. AB Testing for Mobile Games
  3. AI Room Booking Chatbot IBM WATSON
  4. Analyzing Baby Names Trends in Gender and Name Popularity Using Data Science
  5. Analyzing Breath Alcohol Test Data in Ames, Iowa Trends and Insights from 2013 to 2017
  6. Classifying Hip-Hop and Rock Music Using Machine Learning
  7. Colorize Black & White Images
  8. Comparative Analysis of Home Run Tendencies
  9. Cosmetic Product Analysis
  10. Credit Card Approval Prediction
  11. Cryptocurrency Market Analysis Classifying Coins by Market Capitalization
  12. Detecting Distracted Drivers Enhancing Road Safety with Deep Learning
  13. Dimensionality Reduction with PCA
  14. Dog vs Cat Classification
  15. Exploring Trends in LEGO Sets
  16. Exploring the Myth of Shorter Lifespans for Left-Handed People Using Age Distribution
  17. Google Play Store Analysis Insights into App Ratings and User Sentiments
  18. Heart Disease Prediction
  19. Identifying Bees Leveraging Convolutional Neural Networks for Image Classification
  20. Investment Analysis Evaluating Stocks with Sharpe Ratios
  21. Lane Line Detection OPEN CV
  22. Medical Diagnosis Prediction Using Machine Learning
  23. Movie Similarity Analysis Using Plot Descriptions to Cluster Films
  24. Optimizing Digital Marketing Campaigns for Furniture Retailers
  25. Patterns of Nobel Prize Winners
  26. Predicting Blood Donation
  27. Predicting Diabetes
  28. Predicting Iris Species
  29. Predicting Loan Repayment
  30. Predicting Research Topics
  31. Predicting Scores in IPL
  32. Real-Time Face and Smile Detection
  33. Super Bowl Analysis Trends in Game Scores, Viewership, and Halftime Show
  34. The Impact of Handwashing on Hospital Mortality Rates
  35. University Admission Prediction
  36. Wine Quality Prediction

Project Details:

  • Files: Learner_Notebook3.ipynb, employee_data.csv
  • Description: A beginner's guide to understanding model selection and hyperparameter tuning in machine learning. This project uses employee data for model testing.
  • Files: cookie_cats.csv, notebook 12.ipynb
  • Description: An analysis of mobile game data for A/B testing to optimize game features.
  • Files: IBM_Cloud_Function.py, skill-Room-Booking.json
  • Description: An AI-based room booking chatbot built using IBM Watson, offering real-time booking assistance.
  • Files: babynames_nysiis.csv, babynames_ssa.csv, nytkids_yearly.csv
  • Description: This project analyzes the popularity and gender trends of baby names over the years.
  • Files: breath_alcohol_ames.csv
  • Description: Insights from the breath alcohol test data collected in Ames, Iowa, providing useful trends for health and safety improvements.
  • Files: echonest-metrics.json, fma-rock-vs-hiphop.csv
  • Description: A classification task to distinguish between hip-hop and rock music genres using machine learning models.
  • Files: Colorize_Black_and_White_Image.ipynb
  • Description: This project provides a solution for colorizing black-and-white images with a deep learning model.
  • Files: judge.csv, stanton.csv
  • Description: An analysis comparing home run tendencies in baseball using historical data of players like Judge and Stanton.
  • Files: cosmetics.csv
  • Description: An analysis of cosmetic product data to determine trends in the beauty industry.
  • Files: cc_approvals.data
  • Description: A machine learning model predicting whether a credit card application is approved or rejected.
  • Files: coinmarketcap_06012018.csv, coinmarketcap_06122017.csv
  • Description: Classification of cryptocurrencies based on their market capitalization trends.
  • Files: Distrated Driver detection.ipynb
  • Description: Deep learning-based detection of distracted drivers to improve road safety.
  • Files: arrhythmia.csv, pca.ipynb
  • Description: Implementing Principal Component Analysis (PCA) to reduce dimensions in health data for better analysis.
  • Files: DogVsCat Classifier.ipynb
  • Description: A CNN-based project to classify images as dogs or cats using deep learning.
  • Files: colors.csv, sets.csv
  • Description: Analyzing LEGO sets to discover trends in colors, themes, and pieces over time.
  • Files: iris.csv
  • Description: Investigating whether left-handed individuals have a shorter lifespan using statistical data analysis.
  • Files: apps.csv, user_reviews.csv
  • Description: Analyzing the ratings and sentiments of apps in the Google Play Store to provide insights for developers.
  • Files: heart.csv
  • Description: A machine learning model predicting the likelihood of heart disease based on medical data.
  • Files: images_a.zip, images_b.zip
  • Description: A CNN-based image classification model for identifying different species of bees.
  • Files: stock_data.csv
  • Description: Analyzing stock data using Sharpe ratios for investment decision-making.
  • Files: main.py
  • Description: Real-time lane line detection using OpenCV.
  • Files: Symptom-severity.csv, dataset.csv
  • Description: Predicting various diseases based on symptoms using machine learning.
  • Files: movies.csv
  • Description: Clustering films based on plot descriptions to find similar movies.
  • Files: keywords.csv
  • Description: Optimizing digital marketing campaigns for furniture retailers by analyzing keywords.
  • Files: nobel.csv
  • Description: An analysis of Nobel Prize winners over the years, identifying patterns and trends.
  • Files: transfusion.data
  • Description: Predicting blood donation behavior using machine learning techniques.
  • Files: diabetes-prediction-rfc-model.pkl
  • Description: A model that predicts diabetes based on input health metrics.
  • Files: iris_data.csv
  • Description: A classification model predicting the species of iris flowers using machine learning.
  • Files: loan_data.csv
  • Description: A machine learning model predicting whether a person will repay their loan.
  • Files: train.csv, test.csv
  • Description: Predicting future research topics based on historical data.
  • Files: ipl.csv
  • Description: Predicting scores in the Indian Premier League using historical match data.
  • Files: haarcascade_frontalface_default.xml, haarcascade_smile.xml
  • Description: Real-time detection of faces and smiles using OpenCV.
  • Files: super_bowls.csv, halftime_musicians.csv
  • Description: Analyzing trends in Super Bowl game scores, viewership, and halftime show performances.
  • Files: monthly_deaths.csv, yearly_deaths_by_clinic.csv
  • Description: Analyzing the impact of handwashing on hospital mortality rates over time.
  • Files: admission_predict.csv
  • Description: Predicting university admission chances based on academic performance.
  • Files: winequality.csv, Wine.ipynb
  • Description: A machine learning project predicting wine quality based on chemical features.

In this section, the main files and datasets for each project have been listed. For additional files and resources, please visit the respective project folders. Each folder contains the complete set of resources related to the project, including Notebooks for code and other important resources. Since it was not possible to list all files, the most important ones have been listed here, and the rest can be found inside the folders.


Thanks for Visiting!

If you find this repository useful, please consider starring it 🌟 and sharing it with others. Your support helps the community grow.