Data Mining and Machine Learning Projects

This repository contains a collection of data mining and machine learning projects implemented using Python and scikit-learn.

The projects demonstrate the full workflow of a data science pipeline including:

• Data cleaning
• Feature engineering
• Exploratory data analysis (EDA)
• Statistical testing
• Machine learning model development
• Model evaluation

The repository contains projects from different domains including:

• E-commerce analytics
• Customer purchase prediction
• Medical diagnosis classification
• Admission prediction
• Housing price regression

Technologies Used

Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
SciPy

Repository Structure

projects/
│
├── ecommerce-customer-behavior-analysis
├── ecommerce-purchase-prediction
├── laptop-purchase-prediction
├── thyroid-cancer-classification
├── university-admission-prediction
└── yemen-housing-price-prediction

Each project contains:

data/ – dataset used in the project
notebook/ – Jupyter notebook containing the analysis and models
README.md – detailed explanation of the project