Hands-on labs covering data science concepts using Python/R. Modules include setup of IDEs, data visualization, data cleaning, supervised and unsupervised learning, and a mini project on web scraping. Datasets from Kaggle and other sources are utilized for practical learning and model training.

The Criminal Database Management System (CDBMS) is a comprehensive project aimed at improving the efficiency of managing criminal records for law enforcement agencies and legal authorities. This system offers a user-friendly interface for adding, searching, updating, and removing criminal information.

This repository contains my solution for the Titanic Machine Learning competition on Kaggle. It's my first competition, and I explore various machine learning techniques to predict passenger survival. The Jupyter notebook includes data analysis, feature engineering, and model training. Feel free to explore, learn, and contribute!