Machine Learning

A collection of my Machine Learning learning materials, Jupyter notebooks, datasets, and projects using Python.

Topics Covered

• Exploratory Data Analysis (EDA)
• Data Cleaning
• Data Encoding
• Feature Engineering
• Covariance & Correlation
• Linear Regression
• Multiple Linear Regression
• Ridge Regression
• Decision Tree Classification
• Model Training
• Model Evaluation

Repository Structure

Machine_Learning/
│
├── Lec1.ipynb
├── Lec2.ipynb
├── lec3.ipynb
├── ...
├── lec25_Decision_Tree_Classifier_Implementation.ipynb
│
├── data/
│   └── Datasets
│
├── ML_Project/
│   └── Forest Fire Prediction Project
│
├── *.csv
├── *.xlsx
└── *.pkl