Machine-Learning-Labs

A collection of machine learning algorithms, data analysis notebooks, and AI experiments built while studying Machine Learning and Data Science.

Topics Covered

• Data Cleaning
• Exploratory Data Analysis (EDA)
• Linear Regression
• Logistic Regression
• Decision Trees
• K-Nearest Neighbors (KNN)
• Classification
• Regression
• Feature Engineering

Technologies

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

Repository Structure

Machine-Learning-Labs/
│
├── Data-Cleaning/
├── Pandas-Practice/
├── Linear-Regression/
├── Logistic-Regression/
├── Decision-Tree/
├── KNN/
└── Diabetes-Prediction/

Current Status

This repository is continuously updated as I learn and implement new Machine Learning concepts.

Author

Muhammad Qasim