π Code of Conduct β’ π€ Contributing Guidelines β’ πΊοΈ Learning Roadmap β’ π Project Template β’ π PR Template
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.
π‘ No mentor? No problem. Learn by building, become interview-ready, and grow with a thriving open-source community.
![]() ML Fundamentals |
![]() Statistics & Analytics |
![]() Data Science |
| π | Why Machine Learning? | ποΈ |
| π | Pre-requisites | π¦ |
| π€ | ML Algorithm Recommendation Guide | β |
| π | All Projects | π |
| βοΈ | Contribution Guidelines | π |
| β¨ | Contributors | β€οΈ |
| π | Notebook Health Check | π |
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.
| Benefit | Impact |
|---|---|
| π Pattern Discovery | Uncover hidden trends in massive datasets |
| β‘ Automation | Reduce manual analysis and repetitive tasks |
| π― Personalization | Power recommendations at Netflix, Amazon & Spotify |
| π₯ Healthcare | Early disease detection & medical imaging |
| πΌ Business Edge | Used by Google, Meta, Uber as a competitive differentiator |
| Step | Resource | Link |
|---|---|---|
| 1οΈβ£ | Install Python | python.org |
| 2οΈβ£ | Learn Python Basics | W3Schools Python ML |
| 3οΈβ£ | ML with Python Course | freeCodeCamp ML |
π¨ Getting Started with R & RStudio β Click to expand
R is an open-source language built for statistical computing, data analytics, and scientific research.
- Install R β Download from CRAN
- Install RStudio β Download RStudio Desktop
| # | 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 |
|
Methods for constructing variable combinations to describe data accurately.
Expose patterns, trends & correlations visually.
Select relevant features to boost model accuracy.
|
Multidisciplinary field combining statistics, ML, computing, and domain expertise to extract insights and drive decisions across industries. |
ποΈ Click to explore all datasets β Classification, Regression, NLP, CV & more
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | Titanic | Predict passenger survival | β | Kaggle |
| 2 | Iris Flower | Classify 3 iris species | β | UCI |
| 3 | Breast Cancer Wisconsin | Malignant vs benign tumors | β | UCI |
| 4 | Heart Disease | Predict from clinical features | ββ | UCI |
| 5 | Pima Indians Diabetes | Diabetes onset prediction | β | Kaggle |
| 6 | Adult Income | Income >$50K prediction | ββ | UCI |
| 7 | Bank Marketing | Term deposit subscription | ββ | UCI |
| 8 | Wine Quality | Good vs bad wine classification | β | UCI |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | Boston Housing | Predict housing prices | β | Kaggle |
| 2 | California Housing | Median house values | β | Kaggle |
| 3 | House Prices | 79-variable price prediction | ββ | Kaggle |
| 4 | Auto MPG | Fuel efficiency prediction | β | UCI |
| 5 | Student Performance | Exam score prediction | β | UCI |
| 6 | Medical Cost | Insurance charge prediction | β | Kaggle |
| 7 | Bike Sharing Demand | Hourly rental counts | ββ | Kaggle |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | SMS Spam Collection | Spam vs ham classification | β | UCI |
| 2 | IMDB Reviews | 50K movie sentiment analysis | β | Kaggle |
| 3 | Twitter Airline Sentiment | Airline tweet classification | ββ | Kaggle |
| 4 | Amazon Reviews | Multi-class sentiment | ββ | Kaggle |
| 5 | Fake News | Real vs fake articles | ββ | Kaggle |
| 6 | AG News | 4-topic news classification | ββ | Hugging Face |
| 7 | Quora Question Pairs | Semantic equivalence detection | βββ | Kaggle |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | MNIST | Handwritten digit classification | β | Yann LeCun |
| 2 | Fashion-MNIST | Clothing category classification | β | GitHub |
| 3 | CIFAR-10 | 10-class image classification | ββ | Official |
| 4 | Dogs vs Cats | Binary image classification | ββ | Kaggle |
| 5 | Flowers Recognition | 5 flower categories | β | Kaggle |
| 6 | Intel Image Classification | 6 natural scene categories | ββ | Kaggle |
| 7 | Chest X-Ray Pneumonia | Pneumonia detection | ββ | Kaggle |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | Mall Customers | Customer segmentation | β | Kaggle |
| 2 | Credit Card Segmentation | Spending behavior clusters | ββ | Kaggle |
| 3 | Wholesale Customers | Distributor spending data | β | UCI |
| 4 | World Happiness Report | Country happiness scores | β | Kaggle |
| 5 | Online Retail | Market basket analysis | ββ | UCI |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | Air Passengers | Monthly airline counts (1949β1960) | β | GitHub |
| 2 | Stock Market Data | Historical stock prices | ββ | Kaggle |
| 3 | COVID-19 (JHU) | Global case tracking | β | GitHub |
| 4 | Energy Consumption | Hourly power data (LSTM-ready) | ββ | Kaggle |
| 5 | Jena Climate | 420K hourly weather readings | βββ | TensorFlow |
| # | Dataset | Description | Level | Download |
|---|---|---|---|---|
| 1 | MovieLens (ml-100k) | 100K movie ratings | β | GroupLens |
| 2 | Book-Crossing | 270K+ book ratings | ββ | Kaggle |
| 3 | Amazon Product Ratings | Cross-category ratings | ββ | UCSD |
| 4 | Jester Jokes | 73K user joke ratings | ββ | UC Berkeley |
| 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 |
π‘ Beginner tip: Start with Iris, Titanic, or MNIST β each teaches a complete ML workflow in under 100 lines of code!
| π§ Healthcare | π¬ NLP & Chatbots | π Forecasting |
| Alzheimer's Predictor | Chatbot Using RASA | COVID-19 Prophet Forecast |
| Brain Tumor Detection | Fake News Detection | Crude Oil Forecasting |
| Heart Disease Prediction | Emotion Recognition NLP | Covid Third Wave Forecast |
| ποΈ Computer Vision | π€ Deep Learning | π¦ Finance & Business |
| Eye Gaze Tracking | ANN from Scratch | Portuguese Bank Marketing |
| Deepfake Image Analyzer | Bidirectional LSTM | Bitcoin Price Predictor |
| Chicken Disease Classification | Weapon Detection System | Customer Segmentation |
| # | 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 |
π Quick Project Index β Click to expand full list
π & many more... Explore the full repository for 500+ additional projects!
π’ 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 |
π΅ 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 |
π‘ 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 |
| Resource | Link |
|---|---|
| 8 Basic Statistics Concepts | KDnuggets |
| Machine Learning with Python (Coursera) | Coursera |
| Python ML Getting Started (W3Schools) | W3Schools |
| ML with Python (freeCodeCamp) | freeCodeCamp |
# 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!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 |
# 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-featureThen open a Pull Request on GitHub with a clear description of your changes.
ML-CaPsule/
βββ π .github/ # GitHub templates & workflows
β βββ ISSUE_TEMPLATE/ # Standardized issue templates
β βββ readme_template.md # Template for project READMEs
β βββ pullrequest_template.md # Template for submitting Pull Requests
βββ π Project Folders/ # 500+ self-contained ML/DL/NLP/CV projects
β βββ π <Project_Name>/ # Individual project folder (descriptive name)
β β βββ π README.md # Project specific description, results & instructions
β β βββ π *.ipynb / *.py # Implementation notebooks/scripts
β β βββ π requirements.txt # (Optional) Folder-specific dependencies
β β βββ π assets / images # Screenshots & visual demonstrations
βββ π build_readme.py # Utility script for automated README index updating
βββ π CODE_OF_CONDUCT.md # Community behavioral standards
βββ π CONTRIBUTING.md # Detailed contribution workflow & coding guidelines
βββ π LICENSE # MIT License
βββ π README.md # Main repository overview & directory hub
βββ π ROADMAP.md # Structured 3-tier learning path (Beginner/Intermediate/Advanced)
- 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.
- 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.
- Automated Indexing:
build_readme.pyacts as a repository maintenance tool that dynamically updates project listings. - Structured Roadmap:
ROADMAP.mdorganizes projects into clear skill tiers (Beginner, Intermediate, Advanced) guiding new learners step by step.
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 jupyterIf the project folder contains a local requirements.txt, install it directly using:
pip install -r requirements.txtQ3: 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.
Please read our Code of Conduct before contributing.
Thanks to all these amazing people who made ML-CaPsule possible! π
Niket Kumar Dheeryan Author π» |
Abhishek Sharma π» |
Sakalya100 π» |
Kaustav Roy π» |
Soumayan Pal π» |
Komal Gupta π» |
Manu Varghese π» |
Abhishek Panigrahi π» |
Padmini Rai π» |
psyduck1203 π» |
Rutik Bhoyar π» |
Ayushi Shrivastava π» |
This project is licensed under the MIT License.
Feel free to create issues, fix bugs, and contribute. Join our community!
Built with β€οΈ by Niketkumardheeryan and contributors
π§ 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 | π‘ Intermediate | 3-6 hours |
| Advanced Visualizations | π’ Beginner | 1-3 hours |
| AI-Based QR Code Detection | π‘ Intermediate | 3-6 hours |
| AI_Based__Resume_Gap_Detector | π‘ Intermediate | 3-6 hours |
| AI_Language_Learning_Assistant | π‘ Intermediate | 3-6 hours |
| AI_Resume Analyzer | π‘ Intermediate | 3-6 hours |
| Air_quality_prediction | π‘ Intermediate | 3-6 hours |
| Algorithmic_Trading_Strategy_Optimization_Using_Genetic_Algorithms | π Advanced | 6-12 hours |
| Alzheimer's Disease Predictor | π‘ Intermediate | 3-6 hours |
| Amortized_Linear_Regression_Weights_Prediction | π‘ Intermediate | 3-6 hours |
| Analysis_&_predict_Black_friday_sale | π‘ Intermediate | 3-6 hours |
| Animal_Cancer_Disease_Prediction | π‘ Intermediate | 3-6 hours |
| Animal_Detection_Alert_System | π‘ Intermediate | 3-6 hours |
| Anime Data Analysis and Prediction | π‘ Intermediate | 3-6 hours |
| ANN_Energy_Consumption_Predictor | π‘ Intermediate | 3-6 hours |
| Anomaly Detection in Transactions using Deep Learning | π‘ Intermediate | 3-6 hours |
| ANPR_PI | π‘ Intermediate | 3-6 hours |
| Artificial neural network from scratch | π‘ Intermediate | 3-6 hours |
| Association Rule Implementation | π‘ Intermediate | 3-6 hours |
| Attention_and_Transformers | π Advanced | 6-12 hours |
| Audio Classification | π‘ Intermediate | 3-6 hours |
| Audio_Deepfake_Detection | π Advanced | 6-12 hours |
| Autism Identification System | π‘ Intermediate | 3-6 hours |
| Automated Financial Reporting with Deep Learning | π‘ Intermediate | 3-6 hours |
| Automatic Comment Generation | π‘ Intermediate | 3-6 hours |
| Automatic Summarization of Scientific Papers | π‘ Intermediate | 3-6 hours |
| AutoML_Tabular_Pipeline | π‘ Intermediate | 3-6 hours |
| Autonomous Research AI Agent | π‘ Intermediate | 3-6 hours |
| Basics of ML and DL | π’ Beginner | 1-3 hours |
| Basics of Power Bi | π’ Beginner | 1-3 hours |
| Basics of the Python | π’ Beginner | 1-3 hours |
| Battery_Drain_Analysis | π‘ Intermediate | 3-6 hours |
| Bidirectional LSTM | π‘ Intermediate | 3-6 hours |
| Bike Price Prediction | π‘ Intermediate | 3-6 hours |
| Bird Species Classification Web App | π‘ Intermediate | 3-6 hours |
| Bitcoin Price Prediction Web App | π‘ Intermediate | 3-6 hours |
| Bitcoin Price Predictor | π‘ Intermediate | 3-6 hours |
| Bitcoin_Price_Prediction_Mobile_App | π‘ Intermediate | 3-6 hours |
| Brain Tumor Detection | π‘ Intermediate | 3-6 hours |
| Breast Cancer Detection using DL with Webapp | π‘ Intermediate | 3-6 hours |
| catboost_info | π‘ Intermediate | 3-6 hours |
| CBOW_PyTorch | π‘ Intermediate | 3-6 hours |
| CBT_ChatBot | π‘ Intermediate | 3-6 hours |
| Chatbot Using RASA | π‘ Intermediate | 3-6 hours |
| Cheat Sheets | π’ Beginner | 1-3 hours |
| Chess Based Project | π‘ Intermediate | 3-6 hours |
| Chi-Square Test | π‘ Intermediate | 3-6 hours |
| Chicken_Disease_Classification | π‘ Intermediate | 3-6 hours |
| Chronic Kidney Disease Prediction | π‘ Intermediate | 3-6 hours |
| ChurnScope | π‘ Intermediate | 3-6 hours |
| Class Imbalance problem | π‘ Intermediate | 3-6 hours |
| Classification Algorithms | π‘ Intermediate | 3-6 hours |
| Cloud Details | π‘ Intermediate | 3-6 hours |
| Clustering Algorithms | π‘ Intermediate | 3-6 hours |
| Code Vulnerability Classifier | π‘ Intermediate | 3-6 hours |
| Company Bankruptcy Using unsupervised | π‘ Intermediate | 3-6 hours |
| Concept_Drift_Detection_and_Adaptive_Retraining_Pipeline | π‘ Intermediate | 3-6 hours |
| Constellation_Classification | π‘ Intermediate | 3-6 hours |
| Consumer Complaint Dataset | π‘ Intermediate | 3-6 hours |
| Continuous Handwriting Text Recognition | π‘ Intermediate | 3-6 hours |
| Core-Utilty-Functions-for-robust-model-handling | π‘ Intermediate | 3-6 hours |
| Covid19 forecasting with prophet | π‘ Intermediate | 3-6 hours |
| COVID_19-DATA-ANALYSIS | π‘ Intermediate | 3-6 hours |
| Covid_Third_Wave_Forecasting | π‘ Intermediate | 3-6 hours |
| Credit_Card_Fraud_Anomaly_Detection | π‘ Intermediate | 3-6 hours |
| Crime_Analytics | π‘ Intermediate | 3-6 hours |
| Crop_Based_Project | π‘ Intermediate | 3-6 hours |
| CrowdAI Plant Disease | π‘ Intermediate | 3-6 hours |
| Crude oil forecasting | π‘ Intermediate | 3-6 hours |
| Customer Segmentation using Machine Learning | π‘ Intermediate | 3-6 hours |
| Customer Segmentation USvAlgorithm | π‘ Intermediate | 3-6 hours |
| Customer_Review_Sentiment_Analyzer | π‘ Intermediate | 3-6 hours |
| Cyberbullying Classification | π‘ Intermediate | 3-6 hours |
| Dark Pattern Detection | π‘ Intermediate | 3-6 hours |
| Data Cleaning Techniques | π’ Beginner | 1-3 hours |
| Data Filling and Cleaning Techniques | π’ Beginner | 1-3 hours |
| Dataset_Resources | π‘ Intermediate | 3-6 hours |
| Deep-Fashion-Recommendation-system | π‘ Intermediate | 3-6 hours |
| Deepfake_image_analyzer | π Advanced | 6-12 hours |
| Deepfake_video_detection | π Advanced | 6-12 hours |
| Defective Captcha Image Recognition | π‘ Intermediate | 3-6 hours |
| Detection_Transformer_DETR | π Advanced | 6-12 hours |
| Diabetes Prediction | π‘ Intermediate | 3-6 hours |
| Diabetes_Prediction | π‘ Intermediate | 3-6 hours |
| Different types of Clustering | π‘ Intermediate | 3-6 hours |
| Different types of feature selection techniques | π‘ Intermediate | 3-6 hours |
| Different_types_of_scaling_Method | π‘ Intermediate | 3-6 hours |
| Digital Image Tampering Detection | π‘ Intermediate | 3-6 hours |
| Diseases_Prediction | π‘ Intermediate | 3-6 hours |
| docs | π‘ Intermediate | 3-6 hours |
| dog vs cat | π‘ Intermediate | 3-6 hours |
| Driver_Drowsiness_Detection | π‘ Intermediate | 3-6 hours |
| Duplicate_Question_pair | π‘ Intermediate | 3-6 hours |
| Dynamic Hedging Strategies using Reinforcement Learning | π Advanced | 6-12 hours |
| E-Waste_Impact_Calculator_Recycling_Locator | π‘ Intermediate | 3-6 hours |
| EDA StackOverflow Survey 2023 | π’ Beginner | 1-3 hours |
| EDA-and-Perform-Modelling-on-Ionosphere-Dataset-main | π’ Beginner | 1-3 hours |
| Electric_Vehicle_Price_Prediction | π‘ Intermediate | 3-6 hours |
| Email Classifier | π‘ Intermediate | 3-6 hours |
| Email_Intent_Classification_DistilBERT | π‘ Intermediate | 3-6 hours |
| Emotion Recognition Based on NLP | π‘ Intermediate | 3-6 hours |
| Emotion-based music recommendation | π‘ Intermediate | 3-6 hours |
| Employee_attrittion_prediction_using_ML | π‘ Intermediate | 3-6 hours |
| Engineering Career Role Prediction | π‘ Intermediate | 3-6 hours |
| Ensemble Methods in ML | π‘ Intermediate | 3-6 hours |
| ensemble-methods-notebooks-master | π‘ Intermediate | 3-6 hours |
| experiment_capsule | π‘ Intermediate | 3-6 hours |
| Explaination and Example for P value with code | π‘ Intermediate | 3-6 hours |
| Exploratory-data-analysis | π‘ Intermediate | 3-6 hours |
| Extract_Text_from_PDF_using_Python | π’ Beginner | 1-3 hours |
| Eye_Gaze_Tracking_Attention_Estimation | π‘ Intermediate | 3-6 hours |
| Face-Mask-Detection | π‘ Intermediate | 3-6 hours |
| face-recognition | π‘ Intermediate | 3-6 hours |
| Fake_Currency_Detetction_with_logistic_regression | π‘ Intermediate | 3-6 hours |
| Fake_News_Detection | π‘ Intermediate | 3-6 hours |
| Fake_Review_Detection | π‘ Intermediate | 3-6 hours |
| Feature Eye Disease Classified RNN | π‘ Intermediate | 3-6 hours |
| Feature Scaling Techniques | π‘ Intermediate | 3-6 hours |
| Feature Selection using Genetic ALgorithm | π Advanced | 6-12 hours |
| Feature-Engineering | π‘ Intermediate | 3-6 hours |
| Feature_Selection_Analysis | π‘ Intermediate | 3-6 hours |
| Feed-Forward Neural Networks (Deep Learning Algorithm) | π‘ Intermediate | 3-6 hours |
| FIFA_World_Cup_2022_Winner_Prediction | π Advanced | 6-12 hours |
| File of SQL Commands | π’ Beginner | 1-3 hours |
| Finan_AI Financial Advisor | π‘ Intermediate | 3-6 hours |
| Financial Crisis Early Warning System | π Advanced | 6-12 hours |
| Financial_Impact_Forecasting | π‘ Intermediate | 3-6 hours |
| Fire-Detection-Using-Python-OpenCV | π’ Beginner | 1-3 hours |
| Fire_Detection_Mask_RCNN | π‘ Intermediate | 3-6 hours |
| Fish-Weight-Estimation | π‘ Intermediate | 3-6 hours |
| Flight_delay_prediction_project | π‘ Intermediate | 3-6 hours |
| Flood_Prediction models | π‘ Intermediate | 3-6 hours |
| Flower_classification_android_app | π‘ Intermediate | 3-6 hours |
| Food_Delivery_Time_Prediction | π‘ Intermediate | 3-6 hours |
| Football_Analyser_using_YOLO | π Advanced | 6-12 hours |
| Foreign Exchange Rate Prediction | π‘ Intermediate | 3-6 hours |
| GDP Prediction | π‘ Intermediate | 3-6 hours |
| Gender Pay Gap Analysis | π‘ Intermediate | 3-6 hours |
| Generating 3D Design Voxels using GANs | π Advanced | 6-12 hours |
| Gesture Related Projects | π‘ Intermediate | 3-6 hours |
| GitHub Topic Scraper | π‘ Intermediate | 3-6 hours |
| Google Teachable Machine | π‘ Intermediate | 3-6 hours |
| GRAD-CAM-Visualizer | π‘ Intermediate | 3-6 hours |
| Grad_CAM_VGG16_ImageNet | π‘ Intermediate | 3-6 hours |
| GUI-JARVIS-2026 | π‘ Intermediate | 3-6 hours |
| Hand-Written-Digit-Recognition | π‘ Intermediate | 3-6 hours |
| hand_sign_project | π‘ Intermediate | 3-6 hours |
| Handwritten character recognition | π‘ Intermediate | 3-6 hours |
| Handwritten Equation Solver using CNN | π‘ Intermediate | 3-6 hours |
| Health prediction | π‘ Intermediate | 3-6 hours |
| heart failure | π‘ Intermediate | 3-6 hours |
| Heart_Disease_Prediction | π‘ Intermediate | 3-6 hours |
| Heart_Predection | π‘ Intermediate | 3-6 hours |
| Heart_Prediction | π‘ Intermediate | 3-6 hours |
| heat_stroke_risk_predictor | π‘ Intermediate | 3-6 hours |
| Hindi_Letter_Classification | π‘ Intermediate | 3-6 hours |
| House_Price_Prediction | π‘ Intermediate | 3-6 hours |
| Household_monthly_bill_prediction | π‘ Intermediate | 3-6 hours |
| Housing_Prediction | π‘ Intermediate | 3-6 hours |
| HyperParameter Tuning | π‘ Intermediate | 3-6 hours |
| Image Captioning | π Advanced | 6-12 hours |
| Image Stitching | π Advanced | 6-12 hours |
| ImageGen using GANs | π Advanced | 6-12 hours |
| IMDB Box Office Prediction | π‘ Intermediate | 3-6 hours |
| Indian Currency Detection using DL | π‘ Intermediate | 3-6 hours |
| Indian Elections | π‘ Intermediate | 3-6 hours |
| Infant_Health_Prediction | π‘ Intermediate | 3-6 hours |
| Instagram Reach Prediction | π‘ Intermediate | 3-6 hours |
| Intelligent Network Intrusion Detection System using Machine Learning | π‘ Intermediate | 3-6 hours |
| Interactive ML Algorithm Recommendation Guide for Beginners | π‘ Intermediate | 3-6 hours |
| Internet_Speed_Prediction | π‘ Intermediate | 3-6 hours |
| Internship Spam Detect | π‘ Intermediate | 3-6 hours |
| IPL Cricket Match Win Prediction | π‘ Intermediate | 3-6 hours |
| Irrigation_Prediction | π‘ Intermediate | 3-6 hours |
| job_Advertisement_detection | π‘ Intermediate | 3-6 hours |
| K Means Clustering | π‘ Intermediate | 3-6 hours |
| kmeans_vs_spectral_clustering | π‘ Intermediate | 3-6 hours |
| KNN_Imputation_Example | π‘ Intermediate | 3-6 hours |
| Lane Line Detection [OPEN CV] | π‘ Intermediate | 3-6 hours |
| LanguageDetection | π‘ Intermediate | 3-6 hours |
| Learning Rules In ANN | π‘ Intermediate | 3-6 hours |
| LLM Copilot Extension for VS Code IDE | π Advanced | 6-12 hours |
| Loan Repayment Prediction | π‘ Intermediate | 3-6 hours |
| Loan-Prediction-main | π‘ Intermediate | 3-6 hours |
| LSTM from Scratch | π‘ Intermediate | 3-6 hours |
| Malicious Url Detection | π Advanced | 6-12 hours |
| market-basket-recommendation | π‘ Intermediate | 3-6 hours |
| Mars_Weather_Prediction | π‘ Intermediate | 3-6 hours |
| Maternal Health Risk Prediction | π‘ Intermediate | 3-6 hours |
| Math_for_ML | π‘ Intermediate | 3-6 hours |
| Medical Charges for Smokers and Non-smoker | π‘ Intermediate | 3-6 hours |
| Medical Insurance Cost Prediction | π‘ Intermediate | 3-6 hours |
| Medical_Cost_Prediction | π‘ Intermediate | 3-6 hours |
| Medical_Help_Chatbot | π‘ Intermediate | 3-6 hours |
| Mental_Health_Text_Analysis_&_Depression_Risk_Scorer | π‘ Intermediate | 3-6 hours |
| Meteorite Landing Data Analysis | π‘ Intermediate | 3-6 hours |
| Migraine Type Prediction | π‘ Intermediate | 3-6 hours |
| Milk_Classification_Project | π‘ Intermediate | 3-6 hours |
| MIXUP&CUTMIX-DASHBOARD | π‘ Intermediate | 3-6 hours |
| ML_Capsule_Cross_Platform_App | π‘ Intermediate | 3-6 hours |
| MLOps-for-Beginners | π‘ Intermediate | 3-6 hours |
| MLOps_Learning_Module | π‘ Intermediate | 3-6 hours |
| MNIST English Classification | π‘ Intermediate | 3-6 hours |
| Mobile Price Prediction | π‘ Intermediate | 3-6 hours |
| Model Selection Tool | π‘ Intermediate | 3-6 hours |
| Molecule_Property_Analysis | π‘ Intermediate | 3-6 hours |
| Movie Genre Classification | π‘ Intermediate | 3-6 hours |
| Movie-Recommendation-System | π‘ Intermediate | 3-6 hours |
| Movie-Recommender-System using python | π’ Beginner | 1-3 hours |
| Music Generation using LSTM | π‘ Intermediate | 3-6 hours |
| Naive Bayes Documentation | π‘ Intermediate | 3-6 hours |
| Nasa-Asteroids-Dataset-Analysis | π‘ Intermediate | 3-6 hours |
| NLP-Project | π‘ Intermediate | 3-6 hours |
| NLP_Techniques | π‘ Intermediate | 3-6 hours |
| NLTK Documentation | π‘ Intermediate | 3-6 hours |
| NMT_English_German_Attention | π‘ Intermediate | 3-6 hours |
| Number_of_people_counter | π‘ Intermediate | 3-6 hours |
| NumPy - Basics | π’ Beginner | 1-3 hours |
| Object Detection | π‘ Intermediate | 3-6 hours |
| OCR-Medicine-Reader | π‘ Intermediate | 3-6 hours |
| Ola Bike Ride Request Demand Forecast | π‘ Intermediate | 3-6 hours |
| Online Shoppers Intention Prediction | π‘ Intermediate | 3-6 hours |
| OnlinePaymentFraudDetection | π‘ Intermediate | 3-6 hours |
| Optical character recognition (OCR) | π‘ Intermediate | 3-6 hours |
| optimized the trading strategy based on sentiment analysis | π Advanced | 6-12 hours |
| Optimizing_Dividend_Capture_Strategies_Using_Genetics_Algorithms | π Advanced | 6-12 hours |
| Outlier Detection | π‘ Intermediate | 3-6 hours |
| Pandas-Basics | π’ Beginner | 1-3 hours |
| PCOD_Detection_Using_Ensemble_Learning_XAI | π‘ Intermediate | 3-6 hours |
| Pension Fund Optimization | π Advanced | 6-12 hours |
| Perceptron From Scratch | π‘ Intermediate | 3-6 hours |
| personalityPrediction | π‘ Intermediate | 3-6 hours |
| Plagiarism-detector-using-machine-learning-main | π‘ Intermediate | 3-6 hours |
| Plant Disease Prediction | π‘ Intermediate | 3-6 hours |
| Plant Seedlings Classification | π‘ Intermediate | 3-6 hours |
| Playing-Card-Detection-YOLOv8 | π Advanced | 6-12 hours |
| Pneumonia Classification using Chest X-Ray | π‘ Intermediate | 3-6 hours |
| Poker Hand Prediction | π‘ Intermediate | 3-6 hours |
| PortFolio Optimaization Using Genetic ALgorithm | π Advanced | 6-12 hours |
| Portuguese_Bank_Marketing | π‘ Intermediate | 3-6 hours |
| Pothole_Detection | π‘ Intermediate | 3-6 hours |
| Predicting Next Sequence Of Numbers Using LSTM | π‘ Intermediate | 3-6 hours |
| Projects | π‘ Intermediate | 3-6 hours |
| Prompt_Engineering_Techniques | π‘ Intermediate | 3-6 hours |
| PulseLangX | π‘ Intermediate | 3-6 hours |
| PyPI Package | π‘ Intermediate | 3-6 hours |
| PyScript Tutorial | π‘ Intermediate | 3-6 hours |
| pytorch_tabular | π‘ Intermediate | 3-6 hours |
| Q-Learning From Scratch | π‘ Intermediate | 3-6 hours |
| QnA Conversational Agent | π‘ Intermediate | 3-6 hours |
| Quantitative Finance Strategy Development | π‘ Intermediate | 3-6 hours |
| R language | π‘ Intermediate | 3-6 hours |
| railway_person_detection | π‘ Intermediate | 3-6 hours |
| Rainfall_Trend_Analysis_and_Forecasting | π‘ Intermediate | 3-6 hours |
| Random forest from scratch | π‘ Intermediate | 3-6 hours |
| Random forest test | π‘ Intermediate | 3-6 hours |
| Random Oversampler | π‘ Intermediate | 3-6 hours |
| Rating_Prediction | π‘ Intermediate | 3-6 hours |
| recommendation_system | π‘ Intermediate | 3-6 hours |
| Road accident Analysis using Power BI | π’ Beginner | 1-3 hours |
| Rock Paper Scissors Python Game | π’ Beginner | 1-3 hours |
| Roommate-Compatibility | π‘ Intermediate | 3-6 hours |
| salary-prediction-using-RF | π‘ Intermediate | 3-6 hours |
| SalesProject | π‘ Intermediate | 3-6 hours |
| Scam_SMS_Detector | π‘ Intermediate | 3-6 hours |
| scripts | π‘ Intermediate | 3-6 hours |
| Sentiment analysis for depression based on social media posts | π‘ Intermediate | 3-6 hours |
| Sentiment-Analysis | π‘ Intermediate | 3-6 hours |
| Sentiment-Analysis-on-IMDb-reviews | π‘ Intermediate | 3-6 hours |
| Sign-Language-Translator | π‘ Intermediate | 3-6 hours |
| Simulating Self Driving Cars | π‘ Intermediate | 3-6 hours |
| Skin Disease Predictor | π‘ Intermediate | 3-6 hours |
| SkinGen_CGAN_Skin_Cancer | π Advanced | 6-12 hours |
| Sleep_Alarm_Detector | π‘ Intermediate | 3-6 hours |
| Sleep_Disorder_Prediction | π‘ Intermediate | 3-6 hours |
| Smart_Container_Risk_Prediction | π‘ Intermediate | 3-6 hours |
| Smart_Home_Energy_Forecasting | π‘ Intermediate | 3-6 hours |
| Smartphone processor classification | π‘ Intermediate | 3-6 hours |
| Social Media Fake Accounts Detection with Interactive UI | π‘ Intermediate | 3-6 hours |
| solar-panel-defect-detection | π‘ Intermediate | 3-6 hours |
| SongGenreClassifier | π‘ Intermediate | 3-6 hours |
| Spam Mail Classifier | π‘ Intermediate | 3-6 hours |
| Spam Mail Detection | π‘ Intermediate | 3-6 hours |
| Speech-to-Image Generator | π Advanced | 6-12 hours |
| Speech_Emotion_Recognition | π‘ Intermediate | 3-6 hours |
| Spelling Corrector | π‘ Intermediate | 3-6 hours |
| Sports Analytics Project | π‘ Intermediate | 3-6 hours |
| Sports Image Classification | π‘ Intermediate | 3-6 hours |
| SQL injection detection | π’ Beginner | 1-3 hours |
| Startup_Profit_Prediction | π‘ Intermediate | 3-6 hours |
| Statistical_modeling_python | π’ Beginner | 1-3 hours |
| Stock Price Analysis | π‘ Intermediate | 3-6 hours |
| Student Placement Predictor | π‘ Intermediate | 3-6 hours |
| Student_Dropout_Prediction | π‘ Intermediate | 3-6 hours |
| Sudoku Solver using CNN | π‘ Intermediate | 3-6 hours |
| Taxi_Trip_Price_Prediction | π‘ Intermediate | 3-6 hours |
| TCS Stock Analysis | π‘ Intermediate | 3-6 hours |
| Tensorflow.js Demo | π‘ Intermediate | 3-6 hours |
| Terrain_Classificaton | π‘ Intermediate | 3-6 hours |
| Text Summarization Model | π‘ Intermediate | 3-6 hours |
| Theatre-audience-forecasting | π‘ Intermediate | 3-6 hours |
| Time Series Forecasting with Python | π’ Beginner | 1-3 hours |
| Time-Series LSTM Model | π‘ Intermediate | 3-6 hours |
| Tiny_Council_Multi_Agent_AI_Decision_System | π‘ Intermediate | 3-6 hours |
| Traffic Sign Recognition | π‘ Intermediate | 3-6 hours |
| Traffic_Demand_Prediction | π‘ Intermediate | 3-6 hours |
| Transfer Learning | π‘ Intermediate | 3-6 hours |
| TweetMiner_AI | π‘ Intermediate | 3-6 hours |
| Tweets Classification | π‘ Intermediate | 3-6 hours |
| Unique Chatbot | π‘ Intermediate | 3-6 hours |
| utils | π‘ Intermediate | 3-6 hours |
| Various Plots using Matplot,Seaborn,Pandas | π’ Beginner | 1-3 hours |
| Vehicles and Pedestrian Detection | π‘ Intermediate | 3-6 hours |
| Virtual Drag and Drop Using OpenCV | π Advanced | 6-12 hours |
| Voice_CLI_Virtual_Assistant | π‘ Intermediate | 3-6 hours |
| Waste Management through Reinforcement Learning | π Advanced | 6-12 hours |
| WEAPON-DETECTION-SYSTEM | π‘ Intermediate | 3-6 hours |
| Weather Prediction | π‘ Intermediate | 3-6 hours |
| Web Traffic Time series forecasting | π‘ Intermediate | 3-6 hours |
| Web-Scraping-with-Beautiful-Soup-master | π‘ Intermediate | 3-6 hours |
| Website Classification | π‘ Intermediate | 3-6 hours |
| website ML-CaPsule | π‘ Intermediate | 3-6 hours |
| Wildfire_Survival_Prediction | π‘ Intermediate | 3-6 hours |
| Windy_Grid_World_RL | π Advanced | 6-12 hours |
| Wine_Quality_Prediction | π‘ Intermediate | 3-6 hours |
| XgBoost_Algorithm | π‘ Intermediate | 3-6 hours |
| Youtube Comment Analysis | π‘ Intermediate | 3-6 hours |
| Zomato Restaurant & Price EDA | π’ Beginner | 1-3 hours |




