Welcome to my ML-Mini-Projects repository! This repository is a collection of machine learning projects that I have developed, designed, and implemented to solve various real-world problems using data and machine learning algorithms. From predicting diseases and detecting fraud, to identifying handwritten digits and predicting rainfall, this repository demonstrates the versatility of machine learning techniques across a range of domains.
- A predictive model using machine learning to detect the likelihood of heart disease based on various health features.
- Includes a Flask web application for real-time prediction.
- An ML model designed to predict various diseases based on input symptoms and parameters.
- An algorithm to detect fraudulent credit card transactions using data science techniques.
- A machine learning model for detecting fake news articles based on textual analysis.
- A model to forecast rainfall based on historical weather data.
- A regression model to predict house prices based on various features like location, size, etc.
- A model predicting the number of calories burnt during a workout based on various parameters.
- A machine learning model to recognize human activities from sensor data.
- Predicts crop yields based on environmental and farming parameters.
- Predicts solar irradiance based on weather patterns and historical data.
- A model to predict the survival of passengers aboard the Titanic.
- Predicts the outcome of PUBG matches based on various in-game parameters.
- A model to recognize handwritten digits from the famous MNIST dataset.
- Clone the repository to your local machine:
git clone https://github.com/tiwariar7/ML-Mini-Projects.git