Machine Learning Projects Repository

A collection of various machine learning projects, implementations, and tutorials covering a wide range of ML techniques and applications.

Repository Contents

Classification Projects

• Breast Cancer Prediction (.py and .ipynb versions)
  • Implementations using different approaches including Neural Networks
  • Uses breast cancer dataset (available in repository)
• Diabetes Prediction
  • Predicts diabetes using classification algorithms
  • Created in Google Colaboratory

Regression Projects

• Simple Linear Regression
• Multiple Linear Regression (including BONUS implementation)
• Polynomial Regression
• Support Vector Regression

Clustering Projects

• Bank Customer Segmentation
  • Customer segmentation solution for banking data

Natural Language Processing & Computer Vision

• Speech Emotion Recognition
• Flower Detection

Recommendation Systems

• Movie Recommendation Engine

Data Preprocessing

• Handling Missing Data
  • Techniques for dealing with missing values in datasets
• Encoding Categorical Data
  • Methods for converting categorical variables to numerical format
• Data Preprocessing Tools
  • Multiple notebooks with various preprocessing techniques

Other ML Techniques

• Kernel SVM
• Logistic Regression

Datasets

• Breast cancer dataset (CSV)
• Diabetes dataset (CSV)
• Quikr car dataset (CSV)

Tools & Technologies Used

• Python
• Jupyter Notebooks
• Google Colaboratory
• Popular ML libraries (Scikit-learn, TensorFlow, etc.)

Getting Started

1. Clone this repository
2. Install the required dependencies
3. Explore the notebooks and scripts based on your area of interest

License

This repository contains notebooks and code examples created while learning machine learning. Shared for educational purposes only.

Contribution

Feel free to contribute to this repository by adding new implementations or improving existing ones.