Python Data Mining Projects

A collection of data mining and machine learning projects implemented in Python using Jupyter Notebooks. Each project applies core data science techniques — from regression and classification to clustering — on real-world datasets.

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📁 Repository Structure

File	Dataset	Techniques Used
Data_mining_pj1(Utilities).ipynb	Utilities	Clustering (K-Means), Exploratory Data Analysis
Data_mining_pj2(Airfares).ipynb	Airfares	Linear Regression, Feature Selection
Data_mining_pj3(Baseball_Hitters).ipynb	Baseball Hitters	Regression, LASSO/Ridge, Model Evaluation
Data_mining_pj4(SpamBase).ipynb	SpamBase	Classification, Logistic Regression, Naive Bayes

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📊 Project Summaries

Project 1 — Utilities (Clustering)

Explores utility company data to identify groups of similar companies using unsupervised learning. Applies K-Means clustering and visualizes cluster characteristics.

Dataset: Utilities.csv

Project 2 — Airfares (Regression)

Analyzes domestic airfare pricing to identify key factors that drive ticket costs. Builds regression models to predict fare prices across routes.

Dataset: Airfares.csv

Project 3 — Baseball Hitters (Regression & Regularization)

Predicts baseball player salaries using batting statistics. Implements and compares multiple regression approaches including regularization methods to handle multicollinearity.

Dataset: Hitters.csv

Project 4 — SpamBase (Classification)

Builds a spam email classifier using features extracted from email content. Compares classification models for accuracy, precision, and recall.

Dataset: Spambase.csv

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🛠️ Technologies & Libraries

• Python 3.x
• Jupyter Notebook
• pandas, numpy
• scikit-learn
• matplotlib, seaborn

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🚀 Getting Started

1. Clone the repository:

   git clone https://github.com/janmejoykar1807/Python_Data_Mining_Projects.git

2. Install dependencies:

   pip install pandas numpy scikit-learn matplotlib seaborn jupyter

3. Launch Jupyter Notebook:

   jupyter notebook

4. Open any .ipynb file to explore the project.

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👤 Author

Janmejoy Kar Data Science learner — applying Python, R, and SQL for data analysis and predictive modeling. GitHub Profile