datasceince

These are notebooks I made while learning pandas, numpy, matplotlib and seaborn with full explanation and documentation. They are great for starting and using as cheat sheet.

End-to-end project to predict and segment customers. (clustering problem)

Stock Market Predictions Using Historical Data from different live sources,.

This comprehensive collection encompasses a diverse array of coursework and projects that I have diligently undertaken as part of my MS in Data Science, demonstrating my unwavering commitment to academic excellence and my passion for continuous growth and development.

Reinforcement Learning Research

Suits (American TV series) | Why it ended! Is it the writing? | Text Analytics on the Subtitles(en) to understand if its true!

Cheat Sheets that I use for git, Python, SQL, Data Science, Deep Learning, Machine Learning, Data visualization and Statistical Analysis.

Predicting hotel booking cancellations using EDA and ML — comparing Logistic Regression, Decision Tree, Random Forest, and SVC on a real-world dataset of ~120K bookings.

A machine learning study using clinical healthcare data to explore disease risk prediction and model interpretability.

USA Rainfall Prediction Dataset (2024-2025)

This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.

Building a modern data warehouse with SQL Server, including ETL Processes, data modeling and analytics.

Microorganism prediction with machine learning.