Machine Learning & Deep Learning (MLDL)

Welcome to the MLDL repository for the TDA Bootcamp. This directory contains various machine learning projects and exercises covering both foundational algorithms and advanced ensemble methods.

Projects Directory

Here is a summary of the projects available in this repository. Click on the links to redirect to each specific project folder.

Project / Topic	Description	Link
Linear & Logistic Regression	Implementations of Linear Regression (Housing Data) and Logistic Regression (Titanic Dataset). Includes notebooks LinReg.ipynb and LogReg.ipynb.	Linear_Logistic_Regression
Ensemble Methods	Data analysis and modeling using tree-based models like XGBoost, Random Forest, and AdaBoost on the Metro Interstate Traffic Volume dataset (XGBoost_RandomForest_ADABoost.ipynb).	XGBoost_RandomForest_ADABoost