A comprehensive, well-structured repository of B.Tech (Hons) CSE notes and learning resources, specializing in Artificial Intelligence and Data Science. Includes semester-wise notes, question papers, curated study guides, and indexed materials designed for efficient learning, revision, and academic reference.

Beginner Python course focused on real data science & AI projects

Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Only last month (October 2016) the authority fined them $2.3 million, after receiving over 1000 consumer complaints. The existing database will serve as a repository of …

This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.

We will analyze the website MyAnimeList using Requests, and BeautifulSoup for web scraping and NumPy and Pandas for data combination, formatting, and analysis.

This comprehensive course covers the fundamental concepts and practical techniques of Pandas, the essential library for data manipulation and analysis in Python. Learn to create, manipulate, and analyze data efficiently using DataFrames and Series.

This repository is part of my ongoing playlist on YouTube: Python for Data Science. I push all of the code that I use while explaining tricky concepts in fun way. If you have not seen my playlist then do check it out.

This repository provides in-depth notebooks covering essential topics

Python Piscine for Data Science is a 42Network project composed of 5 modules designed to introduce and explore the Python programming language.

Code for the ETF Global Challenge competition of 2017

This repo contains all of the Jupyter Labs from the Applied Data Science Capstone Assignment from the IBM Data Science Professional Certificate

Python Workshop as part of IEEE N2E Coding Club at Rutgers University, New Brunswick in Spring 2019 Semester

Data Science - Hafizh-H-Asyhari (Teori & Project)

Part of IBM Data Analyst Professional Certification Course

The "Data Science Ecosystem: A Comprehensive Guide" project explores the tools, techniques, and frameworks used in data science for transforming raw data into actionable insights. It provides an overview of key components such as data collection, analysis, visualization, and machine learning.

Coding assignments, notes, and projects for LaunchCode's Data Science bootcamp.

This repository contains python scripts for the 4-WEEK "Python For Data Science Course" provided by NPTEL.