🚀 50+ ML Projects | 📊 End-to-End Pipelines | 🧠 Multi-Domain Learning
This repository is a collection of 50+ Machine Learning mini projects covering multiple domains such as:
- 📊 Regression
- 🔍 Classification
- 🧠 Natural Language Processing (NLP)
- 👁️ Computer Vision
- 📈 Time Series Forecasting
- 🤖 Recommendation Systems
This repo represents a hands-on ML journey, focusing on real-world datasets and practical implementation.
- Build strong ML fundamentals through practice
- Work on diverse real-world datasets
- Understand end-to-end ML workflows
- Create a solid project portfolio
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Model Training & Evaluation
- Machine Learning Algorithms
- NLP & Computer Vision Basics
- Time Series Forecasting
- Analyzing Selling Price of Used Cars
- Calories Burnt Prediction
- House Price Prediction
- Waiter's Tip Prediction
- Wine Quality Prediction
- Zillow Home Value Prediction
- Predict Fuel Efficiency Using TensorFlow
- Titanic Survival Prediction
- Loan Approval Prediction
- Loan Eligibility Prediction
- Disease Prediction
- Credit Card Fraud Detection
- Customer Churn Analysis Prediction
- Customer Segmentation
- Online Payment Fraud Detection
- Intrusion Detection System
- Fake News Detection
- SMS Spam Detection
- Detecting Spam Emails
- Twitter Sentiment Analysis
- Facebook Sentiment Analysis
- Flipkart Reviews Sentiment Analysis
- Classification of Text Documents
- US Election NLP Sentiment Analysis
- Bitcoin Price Prediction
- Dogecoin Price Prediction
- Microsoft Stock Price Prediction
- Stock Price Prediction Using Scikit-Learn
- Stock Price Prediction using TensorFlow
- Predicting Stock Price Direction
- Rainfall Prediction
- Sales Forecast Prediction
- Ola Bike Ride Request Forecast
- Inventory Demand Forecasting
- Predicting Air Quality
- Anomaly Detection in Time Series Data
- Implementation of Movie Recommender System
- Music Recommendation System
- Ted Talks Recommendation System
- Classify Handwritten Digits
- Multiclass Image Classification
- Count Number of Faces
- Count Number of Object
- Vehicle Count Prediction From Sensor Data
- License Plate Recognition
- Click-Through Rate Prediction
- Box Office Revenue Prediction
- Spaceship Titanic Project
- Linear Regression using Boston Housing Dataset
These projects were inspired by and developed with guidance from:
- GeeksforGeeks (https://www.geeksforgeeks.org/)
Their tutorials and explanations were extremely helpful in building foundational understanding.
- Add Deep Learning projects
- Deploy selected projects (Streamlit / Flask)
- Add dashboards and visualizations
- Improve documentation
Feel free to fork this repository and improve the project. Contributions are always welcome!