📊 Machine Learning Models This repository contains notebooks and notes I created while learning machine learning algorithms step by step.

📂 Contents Regression Models

Linear Regression Logistic Regression Tree-Based Models

Decision Trees Random Forest AdaBoost Gradient Boosting Support Vector Machines (SVM)

K-Nearest Neighbors (KNN)

🛠 Usage Clone the repository and run it on your local machine:

bash

git clone https://github.com/username/ml-models.git cd ml-models To run Jupyter Notebook:

bash

jupyter notebook

📌 Notes Each model includes theoretical explanations and practical implementations. Datasets and preprocessing steps are detailed in the notebooks. Feel free to contribute by opening a PR! 🚀