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Repository files navigation

🧠 ML-CaPsule

πŸ“– Code of Conduct β€’ 🀝 Contributing Guidelines β€’ πŸ—ΊοΈ Learning Roadmap β€’ πŸ“‹ Project Template β€’ πŸ”€ PR Template

Hands-on Machine Learning β€” From Basics to Advanced

Typing SVG


Open Source PRs Welcome MIT License Maintenance


Stars Forks Contributors Issues Last Commit Repo Size Visitors


Explore Projects Star Repo Contribute

Project Index


Machine Learning Animation

πŸš€ About

ML-CaPsule is a comprehensive, open-source learning hub for aspiring and experienced data science enthusiasts. Whether you lack a mentor or want structured, project-based learning β€” this repository helps you master Machine Learning, Deep Learning, NLP, Computer Vision, and more through 500+ real-world projects.

πŸ’‘ No mentor? No problem. Learn by building, become interview-ready, and grow with a thriving open-source community.



ML Fundamentals

Statistics & Analytics

Data Science

πŸ› οΈ Tech Stack

Python TensorFlow PyTorch Scikit-learn Pandas NumPy Jupyter OpenCV R Power BI SQL


πŸ“Š Repository Stats

GitHub Stats GitHub Streak Top Languages

πŸ“‘ Table of Contents

πŸ“ˆ Why Machine Learning? πŸ—‚οΈ
πŸ“š Pre-requisites πŸ“¦
πŸ€– ML Algorithm Recommendation Guide ⭐
πŸ“‚ All Projects πŸ”—
βš™οΈ Contribution Guidelines πŸ“–
✨ Contributors ❀️
πŸ” Notebook Health Check πŸ“

πŸ“ˆ Why Machine Learning?

Machine learning automates analytical model building β€” enabling systems to learn from data, identify patterns, and make decisions with minimal human intervention. It sits at the heart of modern AI.

Why It Matters

Benefit Impact
πŸ” Pattern Discovery Uncover hidden trends in massive datasets
⚑ Automation Reduce manual analysis and repetitive tasks
🎯 Personalization Power recommendations at Netflix, Amazon & Spotify
πŸ₯ Healthcare Early disease detection & medical imaging
πŸ’Ό Business Edge Used by Google, Meta, Uber as a competitive differentiator

πŸ“š Pre-requisites

Python Path

Step Resource Link
1️⃣ Install Python python.org
2️⃣ Learn Python Basics W3Schools Python ML
3️⃣ ML with Python Course freeCodeCamp ML
🎨 Getting Started with R & RStudio β€” Click to expand

R is an open-source language built for statistical computing, data analytics, and scientific research.

Installation

  1. Install R β†’ Download from CRAN
  2. Install RStudio β†’ Download RStudio Desktop

πŸ“Ί Recommended Video Tutorials

# Course Link
1 R Programming Full Course (freeCodeCamp) Watch β†’
2 R Basics Tutorial (Edureka) Watch β†’
3 Data Science with R (Simplilearn) Watch β†’
4 Intro to R for Data Science (DataCamp) Watch β†’

πŸ—‚οΈ Topics Covered

1. πŸ“₯ Data Extraction

Methods for constructing variable combinations to describe data accurately.

  • Web Scraping β€” Beautiful Soup

2. πŸ“Š Visualization

Expose patterns, trends & correlations visually.

  • Libraries β€” Seaborn, Pandas, Matplotlib

3. 🎯 Feature Selection

Select relevant features to boost model accuracy.

4. πŸ“ Statistics

Area Topics
Analytics Descriptive, Diagnostic, Predictive, Prescriptive
Probability Conditional, Bayes' Theorem, Distributions
Central Tendency Mean, Mode, Variance, Skewness, Kurtosis
Hypothesis Testing Z-Test, T-Test, ANOVA, Chi-Square
Regression Linear & Multiple Linear Regression

5. πŸ”¬ Data Science

Multidisciplinary field combining statistics, ML, computing, and domain expertise to extract insights and drive decisions across industries.


πŸ“¦ Dataset Resources

πŸ—„οΈ Click to explore all datasets β€” Classification, Regression, NLP, CV & more

🟒 Classification

# Dataset Description Level Download
1 Titanic Predict passenger survival ⭐ Kaggle
2 Iris Flower Classify 3 iris species ⭐ UCI
3 Breast Cancer Wisconsin Malignant vs benign tumors ⭐ UCI
4 Heart Disease Predict from clinical features ⭐⭐ UCI
5 Pima Indians Diabetes Diabetes onset prediction ⭐ Kaggle
6 Adult Income Income >$50K prediction ⭐⭐ UCI
7 Bank Marketing Term deposit subscription ⭐⭐ UCI
8 Wine Quality Good vs bad wine classification ⭐ UCI

πŸ”΅ Regression

# Dataset Description Level Download
1 Boston Housing Predict housing prices ⭐ Kaggle
2 California Housing Median house values ⭐ Kaggle
3 House Prices 79-variable price prediction ⭐⭐ Kaggle
4 Auto MPG Fuel efficiency prediction ⭐ UCI
5 Student Performance Exam score prediction ⭐ UCI
6 Medical Cost Insurance charge prediction ⭐ Kaggle
7 Bike Sharing Demand Hourly rental counts ⭐⭐ Kaggle

🟑 NLP

# Dataset Description Level Download
1 SMS Spam Collection Spam vs ham classification ⭐ UCI
2 IMDB Reviews 50K movie sentiment analysis ⭐ Kaggle
3 Twitter Airline Sentiment Airline tweet classification ⭐⭐ Kaggle
4 Amazon Reviews Multi-class sentiment ⭐⭐ Kaggle
5 Fake News Real vs fake articles ⭐⭐ Kaggle
6 AG News 4-topic news classification ⭐⭐ Hugging Face
7 Quora Question Pairs Semantic equivalence detection ⭐⭐⭐ Kaggle

πŸ”΄ Computer Vision

# Dataset Description Level Download
1 MNIST Handwritten digit classification ⭐ Yann LeCun
2 Fashion-MNIST Clothing category classification ⭐ GitHub
3 CIFAR-10 10-class image classification ⭐⭐ Official
4 Dogs vs Cats Binary image classification ⭐⭐ Kaggle
5 Flowers Recognition 5 flower categories ⭐ Kaggle
6 Intel Image Classification 6 natural scene categories ⭐⭐ Kaggle
7 Chest X-Ray Pneumonia Pneumonia detection ⭐⭐ Kaggle

🟣 Clustering / Unsupervised

# Dataset Description Level Download
1 Mall Customers Customer segmentation ⭐ Kaggle
2 Credit Card Segmentation Spending behavior clusters ⭐⭐ Kaggle
3 Wholesale Customers Distributor spending data ⭐ UCI
4 World Happiness Report Country happiness scores ⭐ Kaggle
5 Online Retail Market basket analysis ⭐⭐ UCI

🟠 Time Series / Forecasting

# Dataset Description Level Download
1 Air Passengers Monthly airline counts (1949–1960) ⭐ GitHub
2 Stock Market Data Historical stock prices ⭐⭐ Kaggle
3 COVID-19 (JHU) Global case tracking ⭐ GitHub
4 Energy Consumption Hourly power data (LSTM-ready) ⭐⭐ Kaggle
5 Jena Climate 420K hourly weather readings ⭐⭐⭐ TensorFlow

πŸ”΅ Recommendation Systems

# Dataset Description Level Download
1 MovieLens (ml-100k) 100K movie ratings ⭐ GroupLens
2 Book-Crossing 270K+ book ratings ⭐⭐ Kaggle
3 Amazon Product Ratings Cross-category ratings ⭐⭐ UCSD
4 Jester Jokes 73K user joke ratings ⭐⭐ UC Berkeley

🌐 Dataset Platforms

Platform Description Link
Kaggle Largest dataset community + competitions kaggle.com/datasets
UCI ML Repository Classic academic datasets archive.ics.uci.edu
Google Dataset Search Public dataset search engine datasetsearch.research.google.com
Hugging Face NLP datasets hub huggingface.co/datasets
Papers With Code Research-linked datasets paperswithcode.com/datasets
data.gov U.S. government open data data.gov
OpenML AutoML datasets openml.org

πŸ’‘ Beginner tip: Start with Iris, Titanic, or MNIST β€” each teaches a complete ML workflow in under 100 lines of code!


⭐ Featured Projects

πŸ“‚ Project Highlights

# Project Description
1 Alzheimer's Disease Predictor ML model predicting Alzheimer's likelihood using classification & feature selection
2 Chatbot Using RASA Conversational AI handling diverse user queries
3 COVID-19 Forecasting with Prophet Time-series forecasting of case trends
4 Fake News Detection NLP-based fake news classification
5 Eye Gaze Tracking & Attention Estimation Real-time attention tracking with MediaPipe & 3D head pose estimation
6 Portuguese Bank Marketing Binary classification for term deposit subscription

πŸ“‚ All Projects

πŸ“‹ Quick Project Index β€” Click to expand full list
S.No Project S.No Project S.No Project S.No Project
1 Advanced Visualizations 2 Alzheimer's Disease Predictor 3 Black Friday Sale Analysis 4 Anime Data Analysis
5 ANN from Scratch 6 Association Rules 7 Audio Classification 8 Autism Identification
9 Paper Summarization 10 Basics of ML & DL 11 Basics of Power BI 12 Basics of Python
13 Bidirectional LSTM 14 Bird Species Web App 15 Bitcoin Web App 16 Bitcoin Predictor
17 Brain Tumor Detection 18 Breast Cancer DL Webapp 19 CBT ChatBot 20 COVID-19 Analysis
21 Chatbot RASA 22 Cheat Sheets 23 Chi-Square Test 24 Chicken Disease
25 Kidney Disease 26 Class Imbalance 27 Classification Algorithms 28 Cloud Details
29 Clustering Algorithms 30 Company Bankruptcy 31 COVID Prophet 32 Covid Third Wave
33 Plant Disease 34 Crude Oil Forecast 35 Customer Segmentation USvAlgo 36 Customer Segmentation ML
37 Dark Pattern Detection 38 Data Cleaning 39 Data Filling & Cleaning 40 Deepfake Analyzer
41 Captcha Recognition 42 Diabetes Prediction 43 Clustering Types 44 Feature Selection
45 Scaling Methods 46 Diseases Prediction 47 Drowsiness Detection 48 Duplicate Questions
49 Ionosphere EDA 50 Email Classifier 51 Emotion Recognition 52 Eye Gaze Tracking
53 Bank Marketing 54 Constellation Classification 55 Crime Analytics 56 CBOW PyTorch
57 Mental Health Risk Scorer 58 Fashion Recommendation System

πŸ“Œ & many more... Explore the full repository for 500+ additional projects!

πŸ—‚οΈ Projects by Domain

🟒 Beginner & Data Analysis
Project Category Level Link
Anime Data Analysis Data Analysis Beginner View β†’
Medical Cost Prediction ML Beginner View β†’
Heart Disease Detection ML Beginner View β†’
Water Potability ML Intermediate View β†’
Constellation Classification ML Intermediate View β†’
πŸ”΅ Deep Learning & Computer Vision
Project Category Level Link
Alzheimer's Predictor Deep Learning Intermediate View β†’
Yoga Pose Detection Computer Vision Intermediate View β†’
Speech-to-Image Generator Deep Learning Advanced View β†’
Weapon Detection System Computer Vision Advanced View β†’
Fashion Recommendation System Deep Learning & Recommenders Intermediate View β†’
🟑 NLP & Advanced ML
Project Category Level Link
Toxic Comment Classifier NLP Intermediate View β†’
Currency Arbitrage with RL Reinforcement Learning Advanced View β†’
Sales Prediction (Research) ML Advanced View β†’
TweetMiner AI NLP Beginner View β†’
Intelligent Network Intrusion Detection System ML Advanced View β†’
Mental Health Risk Scorer NLP & Transformers Advanced View β†’
Code Vulnerability Classifier ML & Transformers Advanced View β†’

πŸ”— Useful URLs

Resource Link
8 Basic Statistics Concepts KDnuggets
Machine Learning with Python (Coursera) Coursera
Python ML Getting Started (W3Schools) W3Schools
ML with Python (freeCodeCamp) freeCodeCamp

πŸš€ Get Started

# 1. Fork & clone the repository
git clone https://github.com/Niketkumardheeryan/ML-CaPsule.git
cd ML-CaPsule

# 2. Create a feature branch
git checkout -b my-feature

# 3. Pick a project folder and start learning!

🌟 Love this project? Give it a ⭐!

Star the repo

Star on GitHub


βš™οΈ Contribution Guidelines

We welcome contributions from everyone! Here's how to get involved:

Step Action Link
1 Read contribution guidelines CONTRIBUTING.md
2 Browse existing issues Issues
3 Submit a pull request Pull Requests

Submitting a Pull Request

# Fork β†’ Clone β†’ Branch β†’ Commit β†’ Push β†’ PR
git clone https://github.com/YOUR_USERNAME/ML-CaPsule.git
cd ML-CaPsule
git checkout -b my-feature
# Make your changes
git add .
git commit -m "Add: descriptive message about your change"
git push origin my-feature

Then open a Pull Request on GitHub with a clear description of your changes.

πŸ“ Repository Structure & Architecture

ML-CaPsule/
β”œβ”€β”€ πŸ“‚ .github/                   # GitHub templates & workflows
β”‚   β”œβ”€β”€ ISSUE_TEMPLATE/           # Standardized issue templates
β”‚   β”œβ”€β”€ readme_template.md        # Template for project READMEs
β”‚   └── pullrequest_template.md   # Template for submitting Pull Requests
β”œβ”€β”€ πŸ“‚ Project Folders/           # 500+ self-contained ML/DL/NLP/CV projects
β”‚   β”œβ”€β”€ πŸ“‚ <Project_Name>/        # Individual project folder (descriptive name)
β”‚   β”‚   β”œβ”€β”€ πŸ“„ README.md          # Project specific description, results & instructions
β”‚   β”‚   β”œβ”€β”€ πŸ“„ *.ipynb / *.py     # Implementation notebooks/scripts
β”‚   β”‚   β”œβ”€β”€ πŸ“„ requirements.txt   # (Optional) Folder-specific dependencies
β”‚   β”‚   └── πŸ“‚ assets / images    # Screenshots & visual demonstrations
β”œβ”€β”€ πŸ“„ build_readme.py            # Utility script for automated README index updating
β”œβ”€β”€ πŸ“„ CODE_OF_CONDUCT.md         # Community behavioral standards
β”œβ”€β”€ πŸ“„ CONTRIBUTING.md            # Detailed contribution workflow & coding guidelines
β”œβ”€β”€ πŸ“„ LICENSE                    # MIT License
β”œβ”€β”€ πŸ“„ README.md                  # Main repository overview & directory hub
└── πŸ“„ ROADMAP.md                  # Structured 3-tier learning path (Beginner/Intermediate/Advanced)

πŸ—οΈ Architecture & Component Responsibilities

  1. Self-Contained ML Projects: Each directory represents an isolated Machine Learning workspace containing its own dataset loader, model training routine, analysis, visual outputs, and project README.
  2. Standardized Documentation Engine: All sub-projects conform to .github/readme_template.md to ensure consistent presentation of goals, models used, tech stack, and evaluation metrics.
  3. Automated Indexing: build_readme.py acts as a repository maintenance tool that dynamically updates project listings.
  4. Structured Roadmap: ROADMAP.md organizes projects into clear skill tiers (Beginner, Intermediate, Advanced) guiding new learners step by step.

Frequently Asked Questions & Troubleshooting

For the full troubleshooting guide covering installation, environment setup, runtime errors, and git workflow issues, see TROUBLESHOOTING.md.

Q1: How do I choose which project to start with?

Refer to ROADMAP.md which classifies projects into Beginner (foundational ML & EDA), Intermediate (Neural Networks, NLP, Web Apps), and Advanced (Computer Vision, Reinforcement Learning, Transformers).

Q2: What if a project has missing Python packages?

Ensure your virtual environment is active and install common data science packages:

pip install numpy pandas matplotlib seaborn scikit-learn jupyter

If the project folder contains a local requirements.txt, install it directly using:

pip install -r requirements.txt
Q3: Should I submit Jupyter Notebooks (`.ipynb`) or Python scripts (`.py`)?

Jupyter Notebooks (.ipynb) are preferred for project submissions as they combine code, visualization outputs, and explanations. Ensure all notebook cells are executed before committing.


πŸ“– Code of Conduct

Please read our Code of Conduct before contributing.

Code of Conduct

✨ Contributors

Thanks to all these amazing people who made ML-CaPsule possible! πŸŽ‰

Contributors




Niket Kumar Dheeryan

Author πŸ’»

Abhishek Sharma

πŸ’»

Sakalya100

πŸ’»

Kaustav Roy

πŸ’»

Soumayan Pal

πŸ’»

Komal Gupta

πŸ’»

Manu Varghese

πŸ’»

Abhishek Panigrahi

πŸ’»

Padmini Rai

πŸ’»

psyduck1203

πŸ’»

Rutik Bhoyar

πŸ’»

Ayushi Shrivastava

πŸ’»

❀️ Stargazers & Forkers

Rainbow Divider

⭐ Stargazers

Stargazers

🍴 Forkers

Forkers

Rainbow Divider


πŸ“ License

This project is licensed under the MIT License.

MIT License


Happy Coding! πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’»

Feel free to create issues, fix bugs, and contribute. Join our community!


Back to Top


Built with ❀️ by Niketkumardheeryan and contributors

🧭 Suggested Learning Path β€” Click to expand

Start with beginner-friendly projects, then move to intermediate and advanced ones as your confidence grows. The table below adds quick difficulty and time guidance for each project.

Project Difficulty Estimated Time
Accent_Neutralizer_for_Speech 🟑 Intermediate 3-6 hours
Advanced Visualizations 🟒 Beginner 1-3 hours
AI-Based QR Code Detection 🟑 Intermediate 3-6 hours
AI_Based__Resume_Gap_Detector 🟑 Intermediate 3-6 hours
AI_Language_Learning_Assistant 🟑 Intermediate 3-6 hours
AI_Resume Analyzer 🟑 Intermediate 3-6 hours
Air_quality_prediction 🟑 Intermediate 3-6 hours
Algorithmic_Trading_Strategy_Optimization_Using_Genetic_Algorithms 🟠 Advanced 6-12 hours
Alzheimer's Disease Predictor 🟑 Intermediate 3-6 hours
Amortized_Linear_Regression_Weights_Prediction 🟑 Intermediate 3-6 hours
Analysis_&_predict_Black_friday_sale 🟑 Intermediate 3-6 hours
Animal_Cancer_Disease_Prediction 🟑 Intermediate 3-6 hours
Animal_Detection_Alert_System 🟑 Intermediate 3-6 hours
Anime Data Analysis and Prediction 🟑 Intermediate 3-6 hours
ANN_Energy_Consumption_Predictor 🟑 Intermediate 3-6 hours
Anomaly Detection in Transactions using Deep Learning 🟑 Intermediate 3-6 hours
ANPR_PI 🟑 Intermediate 3-6 hours
Artificial neural network from scratch 🟑 Intermediate 3-6 hours
Association Rule Implementation 🟑 Intermediate 3-6 hours
Attention_and_Transformers 🟠 Advanced 6-12 hours
Audio Classification 🟑 Intermediate 3-6 hours
Audio_Deepfake_Detection 🟠 Advanced 6-12 hours
Autism Identification System 🟑 Intermediate 3-6 hours
Automated Financial Reporting with Deep Learning 🟑 Intermediate 3-6 hours
Automatic Comment Generation 🟑 Intermediate 3-6 hours
Automatic Summarization of Scientific Papers 🟑 Intermediate 3-6 hours
AutoML_Tabular_Pipeline 🟑 Intermediate 3-6 hours
Autonomous Research AI Agent 🟑 Intermediate 3-6 hours
Basics of ML and DL 🟒 Beginner 1-3 hours
Basics of Power Bi 🟒 Beginner 1-3 hours
Basics of the Python 🟒 Beginner 1-3 hours
Battery_Drain_Analysis 🟑 Intermediate 3-6 hours
Bidirectional LSTM 🟑 Intermediate 3-6 hours
Bike Price Prediction 🟑 Intermediate 3-6 hours
Bird Species Classification Web App 🟑 Intermediate 3-6 hours
Bitcoin Price Prediction Web App 🟑 Intermediate 3-6 hours
Bitcoin Price Predictor 🟑 Intermediate 3-6 hours
Bitcoin_Price_Prediction_Mobile_App 🟑 Intermediate 3-6 hours
Brain Tumor Detection 🟑 Intermediate 3-6 hours
Breast Cancer Detection using DL with Webapp 🟑 Intermediate 3-6 hours
catboost_info 🟑 Intermediate 3-6 hours
CBOW_PyTorch 🟑 Intermediate 3-6 hours
CBT_ChatBot 🟑 Intermediate 3-6 hours
Chatbot Using RASA 🟑 Intermediate 3-6 hours
Cheat Sheets 🟒 Beginner 1-3 hours
Chess Based Project 🟑 Intermediate 3-6 hours
Chi-Square Test 🟑 Intermediate 3-6 hours
Chicken_Disease_Classification 🟑 Intermediate 3-6 hours
Chronic Kidney Disease Prediction 🟑 Intermediate 3-6 hours
ChurnScope 🟑 Intermediate 3-6 hours
Class Imbalance problem 🟑 Intermediate 3-6 hours
Classification Algorithms 🟑 Intermediate 3-6 hours
Cloud Details 🟑 Intermediate 3-6 hours
Clustering Algorithms 🟑 Intermediate 3-6 hours
Code Vulnerability Classifier 🟑 Intermediate 3-6 hours
Company Bankruptcy Using unsupervised 🟑 Intermediate 3-6 hours
Concept_Drift_Detection_and_Adaptive_Retraining_Pipeline 🟑 Intermediate 3-6 hours
Constellation_Classification 🟑 Intermediate 3-6 hours
Consumer Complaint Dataset 🟑 Intermediate 3-6 hours
Continuous Handwriting Text Recognition 🟑 Intermediate 3-6 hours
Core-Utilty-Functions-for-robust-model-handling 🟑 Intermediate 3-6 hours
Covid19 forecasting with prophet 🟑 Intermediate 3-6 hours
COVID_19-DATA-ANALYSIS 🟑 Intermediate 3-6 hours
Covid_Third_Wave_Forecasting 🟑 Intermediate 3-6 hours
Credit_Card_Fraud_Anomaly_Detection 🟑 Intermediate 3-6 hours
Crime_Analytics 🟑 Intermediate 3-6 hours
Crop_Based_Project 🟑 Intermediate 3-6 hours
CrowdAI Plant Disease 🟑 Intermediate 3-6 hours
Crude oil forecasting 🟑 Intermediate 3-6 hours
Customer Segmentation using Machine Learning 🟑 Intermediate 3-6 hours
Customer Segmentation USvAlgorithm 🟑 Intermediate 3-6 hours
Customer_Review_Sentiment_Analyzer 🟑 Intermediate 3-6 hours
Cyberbullying Classification 🟑 Intermediate 3-6 hours
Dark Pattern Detection 🟑 Intermediate 3-6 hours
Data Cleaning Techniques 🟒 Beginner 1-3 hours
Data Filling and Cleaning Techniques 🟒 Beginner 1-3 hours
Dataset_Resources 🟑 Intermediate 3-6 hours
Deep-Fashion-Recommendation-system 🟑 Intermediate 3-6 hours
Deepfake_image_analyzer 🟠 Advanced 6-12 hours
Deepfake_video_detection 🟠 Advanced 6-12 hours
Defective Captcha Image Recognition 🟑 Intermediate 3-6 hours
Detection_Transformer_DETR 🟠 Advanced 6-12 hours
Diabetes Prediction 🟑 Intermediate 3-6 hours
Diabetes_Prediction 🟑 Intermediate 3-6 hours
Different types of Clustering 🟑 Intermediate 3-6 hours
Different types of feature selection techniques 🟑 Intermediate 3-6 hours
Different_types_of_scaling_Method 🟑 Intermediate 3-6 hours
Digital Image Tampering Detection 🟑 Intermediate 3-6 hours
Diseases_Prediction 🟑 Intermediate 3-6 hours
docs 🟑 Intermediate 3-6 hours
dog vs cat 🟑 Intermediate 3-6 hours
Driver_Drowsiness_Detection 🟑 Intermediate 3-6 hours
Duplicate_Question_pair 🟑 Intermediate 3-6 hours
Dynamic Hedging Strategies using Reinforcement Learning 🟠 Advanced 6-12 hours
E-Waste_Impact_Calculator_Recycling_Locator 🟑 Intermediate 3-6 hours
EDA StackOverflow Survey 2023 🟒 Beginner 1-3 hours
EDA-and-Perform-Modelling-on-Ionosphere-Dataset-main 🟒 Beginner 1-3 hours
Electric_Vehicle_Price_Prediction 🟑 Intermediate 3-6 hours
Email Classifier 🟑 Intermediate 3-6 hours
Email_Intent_Classification_DistilBERT 🟑 Intermediate 3-6 hours
Emotion Recognition Based on NLP 🟑 Intermediate 3-6 hours
Emotion-based music recommendation 🟑 Intermediate 3-6 hours
Employee_attrittion_prediction_using_ML 🟑 Intermediate 3-6 hours
Engineering Career Role Prediction 🟑 Intermediate 3-6 hours
Ensemble Methods in ML 🟑 Intermediate 3-6 hours
ensemble-methods-notebooks-master 🟑 Intermediate 3-6 hours
experiment_capsule 🟑 Intermediate 3-6 hours
Explaination and Example for P value with code 🟑 Intermediate 3-6 hours
Exploratory-data-analysis 🟑 Intermediate 3-6 hours
Extract_Text_from_PDF_using_Python 🟒 Beginner 1-3 hours
Eye_Gaze_Tracking_Attention_Estimation 🟑 Intermediate 3-6 hours
Face-Mask-Detection 🟑 Intermediate 3-6 hours
face-recognition 🟑 Intermediate 3-6 hours
Fake_Currency_Detetction_with_logistic_regression 🟑 Intermediate 3-6 hours
Fake_News_Detection 🟑 Intermediate 3-6 hours
Fake_Review_Detection 🟑 Intermediate 3-6 hours
Feature Eye Disease Classified RNN 🟑 Intermediate 3-6 hours
Feature Scaling Techniques 🟑 Intermediate 3-6 hours
Feature Selection using Genetic ALgorithm 🟠 Advanced 6-12 hours
Feature-Engineering 🟑 Intermediate 3-6 hours
Feature_Selection_Analysis 🟑 Intermediate 3-6 hours
Feed-Forward Neural Networks (Deep Learning Algorithm) 🟑 Intermediate 3-6 hours
FIFA_World_Cup_2022_Winner_Prediction 🟠 Advanced 6-12 hours
File of SQL Commands 🟒 Beginner 1-3 hours
Finan_AI Financial Advisor 🟑 Intermediate 3-6 hours
Financial Crisis Early Warning System 🟠 Advanced 6-12 hours
Financial_Impact_Forecasting 🟑 Intermediate 3-6 hours
Fire-Detection-Using-Python-OpenCV 🟒 Beginner 1-3 hours
Fire_Detection_Mask_RCNN 🟑 Intermediate 3-6 hours
Fish-Weight-Estimation 🟑 Intermediate 3-6 hours
Flight_delay_prediction_project 🟑 Intermediate 3-6 hours
Flood_Prediction models 🟑 Intermediate 3-6 hours
Flower_classification_android_app 🟑 Intermediate 3-6 hours
Food_Delivery_Time_Prediction 🟑 Intermediate 3-6 hours
Football_Analyser_using_YOLO 🟠 Advanced 6-12 hours
Foreign Exchange Rate Prediction 🟑 Intermediate 3-6 hours
GDP Prediction 🟑 Intermediate 3-6 hours
Gender Pay Gap Analysis 🟑 Intermediate 3-6 hours
Generating 3D Design Voxels using GANs 🟠 Advanced 6-12 hours
Gesture Related Projects 🟑 Intermediate 3-6 hours
GitHub Topic Scraper 🟑 Intermediate 3-6 hours
Google Teachable Machine 🟑 Intermediate 3-6 hours
GRAD-CAM-Visualizer 🟑 Intermediate 3-6 hours
Grad_CAM_VGG16_ImageNet 🟑 Intermediate 3-6 hours
GUI-JARVIS-2026 🟑 Intermediate 3-6 hours
Hand-Written-Digit-Recognition 🟑 Intermediate 3-6 hours
hand_sign_project 🟑 Intermediate 3-6 hours
Handwritten character recognition 🟑 Intermediate 3-6 hours
Handwritten Equation Solver using CNN 🟑 Intermediate 3-6 hours
Health prediction 🟑 Intermediate 3-6 hours
heart failure 🟑 Intermediate 3-6 hours
Heart_Disease_Prediction 🟑 Intermediate 3-6 hours
Heart_Predection 🟑 Intermediate 3-6 hours
Heart_Prediction 🟑 Intermediate 3-6 hours
heat_stroke_risk_predictor 🟑 Intermediate 3-6 hours
Hindi_Letter_Classification 🟑 Intermediate 3-6 hours
House_Price_Prediction 🟑 Intermediate 3-6 hours
Household_monthly_bill_prediction 🟑 Intermediate 3-6 hours
Housing_Prediction 🟑 Intermediate 3-6 hours
HyperParameter Tuning 🟑 Intermediate 3-6 hours
Image Captioning 🟠 Advanced 6-12 hours
Image Stitching 🟠 Advanced 6-12 hours
ImageGen using GANs 🟠 Advanced 6-12 hours
IMDB Box Office Prediction 🟑 Intermediate 3-6 hours
Indian Currency Detection using DL 🟑 Intermediate 3-6 hours
Indian Elections 🟑 Intermediate 3-6 hours
Infant_Health_Prediction 🟑 Intermediate 3-6 hours
Instagram Reach Prediction 🟑 Intermediate 3-6 hours
Intelligent Network Intrusion Detection System using Machine Learning 🟑 Intermediate 3-6 hours
Interactive ML Algorithm Recommendation Guide for Beginners 🟑 Intermediate 3-6 hours
Internet_Speed_Prediction 🟑 Intermediate 3-6 hours
Internship Spam Detect 🟑 Intermediate 3-6 hours
IPL Cricket Match Win Prediction 🟑 Intermediate 3-6 hours
Irrigation_Prediction 🟑 Intermediate 3-6 hours
job_Advertisement_detection 🟑 Intermediate 3-6 hours
K Means Clustering 🟑 Intermediate 3-6 hours
kmeans_vs_spectral_clustering 🟑 Intermediate 3-6 hours
KNN_Imputation_Example 🟑 Intermediate 3-6 hours
Lane Line Detection [OPEN CV] 🟑 Intermediate 3-6 hours
LanguageDetection 🟑 Intermediate 3-6 hours
Learning Rules In ANN 🟑 Intermediate 3-6 hours
LLM Copilot Extension for VS Code IDE 🟠 Advanced 6-12 hours
Loan Repayment Prediction 🟑 Intermediate 3-6 hours
Loan-Prediction-main 🟑 Intermediate 3-6 hours
LSTM from Scratch 🟑 Intermediate 3-6 hours
Malicious Url Detection 🟠 Advanced 6-12 hours
market-basket-recommendation 🟑 Intermediate 3-6 hours
Mars_Weather_Prediction 🟑 Intermediate 3-6 hours
Maternal Health Risk Prediction 🟑 Intermediate 3-6 hours
Math_for_ML 🟑 Intermediate 3-6 hours
Medical Charges for Smokers and Non-smoker 🟑 Intermediate 3-6 hours
Medical Insurance Cost Prediction 🟑 Intermediate 3-6 hours
Medical_Cost_Prediction 🟑 Intermediate 3-6 hours
Medical_Help_Chatbot 🟑 Intermediate 3-6 hours
Mental_Health_Text_Analysis_&_Depression_Risk_Scorer 🟑 Intermediate 3-6 hours
Meteorite Landing Data Analysis 🟑 Intermediate 3-6 hours
Migraine Type Prediction 🟑 Intermediate 3-6 hours
Milk_Classification_Project 🟑 Intermediate 3-6 hours
MIXUP&CUTMIX-DASHBOARD 🟑 Intermediate 3-6 hours
ML_Capsule_Cross_Platform_App 🟑 Intermediate 3-6 hours
MLOps-for-Beginners 🟑 Intermediate 3-6 hours
MLOps_Learning_Module 🟑 Intermediate 3-6 hours
MNIST English Classification 🟑 Intermediate 3-6 hours
Mobile Price Prediction 🟑 Intermediate 3-6 hours
Model Selection Tool 🟑 Intermediate 3-6 hours
Molecule_Property_Analysis 🟑 Intermediate 3-6 hours
Movie Genre Classification 🟑 Intermediate 3-6 hours
Movie-Recommendation-System 🟑 Intermediate 3-6 hours
Movie-Recommender-System using python 🟒 Beginner 1-3 hours
Music Generation using LSTM 🟑 Intermediate 3-6 hours
Naive Bayes Documentation 🟑 Intermediate 3-6 hours
Nasa-Asteroids-Dataset-Analysis 🟑 Intermediate 3-6 hours
NLP-Project 🟑 Intermediate 3-6 hours
NLP_Techniques 🟑 Intermediate 3-6 hours
NLTK Documentation 🟑 Intermediate 3-6 hours
NMT_English_German_Attention 🟑 Intermediate 3-6 hours
Number_of_people_counter 🟑 Intermediate 3-6 hours
NumPy - Basics 🟒 Beginner 1-3 hours
Object Detection 🟑 Intermediate 3-6 hours
OCR-Medicine-Reader 🟑 Intermediate 3-6 hours
Ola Bike Ride Request Demand Forecast 🟑 Intermediate 3-6 hours
Online Shoppers Intention Prediction 🟑 Intermediate 3-6 hours
OnlinePaymentFraudDetection 🟑 Intermediate 3-6 hours
Optical character recognition (OCR) 🟑 Intermediate 3-6 hours
optimized the trading strategy based on sentiment analysis 🟠 Advanced 6-12 hours
Optimizing_Dividend_Capture_Strategies_Using_Genetics_Algorithms 🟠 Advanced 6-12 hours
Outlier Detection 🟑 Intermediate 3-6 hours
Pandas-Basics 🟒 Beginner 1-3 hours
PCOD_Detection_Using_Ensemble_Learning_XAI 🟑 Intermediate 3-6 hours
Pension Fund Optimization 🟠 Advanced 6-12 hours
Perceptron From Scratch 🟑 Intermediate 3-6 hours
personalityPrediction 🟑 Intermediate 3-6 hours
Plagiarism-detector-using-machine-learning-main 🟑 Intermediate 3-6 hours
Plant Disease Prediction 🟑 Intermediate 3-6 hours
Plant Seedlings Classification 🟑 Intermediate 3-6 hours
Playing-Card-Detection-YOLOv8 🟠 Advanced 6-12 hours
Pneumonia Classification using Chest X-Ray 🟑 Intermediate 3-6 hours
Poker Hand Prediction 🟑 Intermediate 3-6 hours
PortFolio Optimaization Using Genetic ALgorithm 🟠 Advanced 6-12 hours
Portuguese_Bank_Marketing 🟑 Intermediate 3-6 hours
Pothole_Detection 🟑 Intermediate 3-6 hours
Predicting Next Sequence Of Numbers Using LSTM 🟑 Intermediate 3-6 hours
Projects 🟑 Intermediate 3-6 hours
Prompt_Engineering_Techniques 🟑 Intermediate 3-6 hours
PulseLangX 🟑 Intermediate 3-6 hours
PyPI Package 🟑 Intermediate 3-6 hours
PyScript Tutorial 🟑 Intermediate 3-6 hours
pytorch_tabular 🟑 Intermediate 3-6 hours
Q-Learning From Scratch 🟑 Intermediate 3-6 hours
QnA Conversational Agent 🟑 Intermediate 3-6 hours
Quantitative Finance Strategy Development 🟑 Intermediate 3-6 hours
R language 🟑 Intermediate 3-6 hours
railway_person_detection 🟑 Intermediate 3-6 hours
Rainfall_Trend_Analysis_and_Forecasting 🟑 Intermediate 3-6 hours
Random forest from scratch 🟑 Intermediate 3-6 hours
Random forest test 🟑 Intermediate 3-6 hours
Random Oversampler 🟑 Intermediate 3-6 hours
Rating_Prediction 🟑 Intermediate 3-6 hours
recommendation_system 🟑 Intermediate 3-6 hours
Road accident Analysis using Power BI 🟒 Beginner 1-3 hours
Rock Paper Scissors Python Game 🟒 Beginner 1-3 hours
Roommate-Compatibility 🟑 Intermediate 3-6 hours
salary-prediction-using-RF 🟑 Intermediate 3-6 hours
SalesProject 🟑 Intermediate 3-6 hours
Scam_SMS_Detector 🟑 Intermediate 3-6 hours
scripts 🟑 Intermediate 3-6 hours
Sentiment analysis for depression based on social media posts 🟑 Intermediate 3-6 hours
Sentiment-Analysis 🟑 Intermediate 3-6 hours
Sentiment-Analysis-on-IMDb-reviews 🟑 Intermediate 3-6 hours
Sign-Language-Translator 🟑 Intermediate 3-6 hours
Simulating Self Driving Cars 🟑 Intermediate 3-6 hours
Skin Disease Predictor 🟑 Intermediate 3-6 hours
SkinGen_CGAN_Skin_Cancer 🟠 Advanced 6-12 hours
Sleep_Alarm_Detector 🟑 Intermediate 3-6 hours
Sleep_Disorder_Prediction 🟑 Intermediate 3-6 hours
Smart_Container_Risk_Prediction 🟑 Intermediate 3-6 hours
Smart_Home_Energy_Forecasting 🟑 Intermediate 3-6 hours
Smartphone processor classification 🟑 Intermediate 3-6 hours
Social Media Fake Accounts Detection with Interactive UI 🟑 Intermediate 3-6 hours
solar-panel-defect-detection 🟑 Intermediate 3-6 hours
SongGenreClassifier 🟑 Intermediate 3-6 hours
Spam Mail Classifier 🟑 Intermediate 3-6 hours
Spam Mail Detection 🟑 Intermediate 3-6 hours
Speech-to-Image Generator 🟠 Advanced 6-12 hours
Speech_Emotion_Recognition 🟑 Intermediate 3-6 hours
Spelling Corrector 🟑 Intermediate 3-6 hours
Sports Analytics Project 🟑 Intermediate 3-6 hours
Sports Image Classification 🟑 Intermediate 3-6 hours
SQL injection detection 🟒 Beginner 1-3 hours
Startup_Profit_Prediction 🟑 Intermediate 3-6 hours
Statistical_modeling_python 🟒 Beginner 1-3 hours
Stock Price Analysis 🟑 Intermediate 3-6 hours
Student Placement Predictor 🟑 Intermediate 3-6 hours
Student_Dropout_Prediction 🟑 Intermediate 3-6 hours
Sudoku Solver using CNN 🟑 Intermediate 3-6 hours
Taxi_Trip_Price_Prediction 🟑 Intermediate 3-6 hours
TCS Stock Analysis 🟑 Intermediate 3-6 hours
Tensorflow.js Demo 🟑 Intermediate 3-6 hours
Terrain_Classificaton 🟑 Intermediate 3-6 hours
Text Summarization Model 🟑 Intermediate 3-6 hours
Theatre-audience-forecasting 🟑 Intermediate 3-6 hours
Time Series Forecasting with Python 🟒 Beginner 1-3 hours
Time-Series LSTM Model 🟑 Intermediate 3-6 hours
Tiny_Council_Multi_Agent_AI_Decision_System 🟑 Intermediate 3-6 hours
Traffic Sign Recognition 🟑 Intermediate 3-6 hours
Traffic_Demand_Prediction 🟑 Intermediate 3-6 hours
Transfer Learning 🟑 Intermediate 3-6 hours
TweetMiner_AI 🟑 Intermediate 3-6 hours
Tweets Classification 🟑 Intermediate 3-6 hours
Unique Chatbot 🟑 Intermediate 3-6 hours
utils 🟑 Intermediate 3-6 hours
Various Plots using Matplot,Seaborn,Pandas 🟒 Beginner 1-3 hours
Vehicles and Pedestrian Detection 🟑 Intermediate 3-6 hours
Virtual Drag and Drop Using OpenCV 🟠 Advanced 6-12 hours
Voice_CLI_Virtual_Assistant 🟑 Intermediate 3-6 hours
Waste Management through Reinforcement Learning 🟠 Advanced 6-12 hours
WEAPON-DETECTION-SYSTEM 🟑 Intermediate 3-6 hours
Weather Prediction 🟑 Intermediate 3-6 hours
Web Traffic Time series forecasting 🟑 Intermediate 3-6 hours
Web-Scraping-with-Beautiful-Soup-master 🟑 Intermediate 3-6 hours
Website Classification 🟑 Intermediate 3-6 hours
website ML-CaPsule 🟑 Intermediate 3-6 hours
Wildfire_Survival_Prediction 🟑 Intermediate 3-6 hours
Windy_Grid_World_RL 🟠 Advanced 6-12 hours
Wine_Quality_Prediction 🟑 Intermediate 3-6 hours
XgBoost_Algorithm 🟑 Intermediate 3-6 hours
Youtube Comment Analysis 🟑 Intermediate 3-6 hours
Zomato Restaurant & Price EDA 🟒 Beginner 1-3 hours

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ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

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