Welcome to the Machine Learning Projects repository! This collection showcases various machine learning projects I've worked on, encompassing a range of domains and techniques.
Below is a list of the projects included in this repository:
- Adult Income Prediction: Predicts whether an individual's income exceeds $50K/yr based on census data.
- Audi Price Prediction: Analyzes and predicts the prices of Audi cars using a dataset of car features.
- Face, Eye, and Smile Detection: Implements real-time detection of faces, eyes, and smiles using OpenCV.
- Fruit Recognition: Classifies different types of fruits using image processing and machine learning techniques.
- Fruits and Vegetable Recognition: Extends the fruit recognition project to include vegetables.
- Heart Failure Prediction: Predicts the likelihood of heart failure based on clinical features.
- Human Eye Disease Prediction System: Diagnoses common eye diseases using image data.
- IVT Data Visualization (NetCDF dataset): Visualizes Integrated Vapor Transport data from NetCDF files.
- Music Genre Classification: Classifies music tracks into genres based on audio features.
- Object Detection with YOLOv4: Implements object detection in images and videos using the YOLOv4 algorithm.
- Plant Disease Prediction: Identifies diseases in plants from leaf images.
- Python for Finance: Analyzes financial data and implements trading strategies using Python.
- Sentiment Analysis: Analyzes the sentiment of text data, such as movie reviews or tweets.
- Stock Predictor: Predicts stock prices using machine learning models.
- Weather Dataset Analysis: Analyzes and visualizes weather data to identify patterns and trends.
Each project is contained within its own directory and includes relevant code, datasets, and documentation.
To run any of these projects locally, follow these steps:
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Clone the repository:
git clone https://github.com/animesh1012/machineLearning.git cd machineLearning