Machine Learning with Python

This repository contains my hands-on implementation of Machine Learning algorithms using Python and Jupyter Notebook.

Topics Covered

• Data Preprocessing
• Feature Engineering
• Regression
• Classification
• Clustering
• Association Rule Mining
• Cross Validation
• Hyperparameter Tuning

Algorithms Implemented

Regression

• Linear Regression
• Multiple Linear Regression
• Polynomial Regression

Classification

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

Clustering

• K-Means Clustering
• Hierarchical Clustering
• DBSCAN

Association Rule Mining

• Apriori Algorithm

Tools & Libraries

• Python
• NumPy
• Pandas
• Matplotlib
• Scikit-learn
• mlxtend
• Jupyter Notebook

Repository Structure

• Data Preprocessing
• Regression
• Classification
• Clustering
• Association Rule Mining
• Model Evaluation

This repository will be updated regularly as I continue learning Machine Learning and Data Science.