Machine Learning Projects (Classification & Regression)

This repository contains machine learning projects implemented in Python using Scikit-Learn.
The goal of these projects is to understand the complete machine learning workflow including data preprocessing, model training, evaluation, and comparison of different algorithms.

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1. Breast Cancer Prediction

A classification model that predicts whether a tumor is malignant (M) or benign (B).

Techniques Used

• Data preprocessing
• Feature scaling using StandardScaler
• Random Forest Classifier
• Manual hyperparameter tuning

Model Evaluation

• Accuracy Score
• Confusion Matrix
• Classification Report

Libraries Used

• Pandas
• Scikit-learn
• NumPy

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2. Customer Churn Prediction

A machine learning project to predict whether a telecom customer will churn or stay.

Data Processing

• Handling missing values
• Converting categorical variables using One-Hot Encoding
• Feature scaling using StandardScaler

Algorithms Compared

• K-Nearest Neighbors (KNN)
• Decision Tree
• Random Forest
• Naive Bayes
• Logistic Regression
• Support Vector Machine (SVM)

Model Evaluation

Models are compared using accuracy score.

Model Accuracy Comparison

Below is the accuracy comparison of different machine learning algorithms used for customer churn prediction.

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3. Housing Price Prediction

A regression project that predicts California housing prices using multiple regression models.

Algorithms Used

• Linear Regression
• Ridge Regression
• Lasso Regression

Model Evaluation

• R² Score

Model Performance Comparison

Key Concepts

• Regularization
• Feature selection using Lasso
• Model comparison

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4. Polynomial Regression

This project demonstrates how polynomial regression can model nonlinear relationships better than simple linear regression.

Techniques Used

• Polynomial Feature Transformation
• Linear Regression
• Model visualization

Polynomial Regression Visualization

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Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• Seaborn

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Author

Aditya Sharma
B.Tech AI Student
Meerut Institute of Engineering and Technology