This are the MAD-1 Notes for the IITM BS In Data Science Degree.
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Updated
Mar 13, 2024
This are the MAD-1 Notes for the IITM BS In Data Science Degree.
This repository contains weekly notes in notes folder , GRPA ,Graded Assignments,BPT and NPPE solutions of the system commands course in their respective named folder
This repository contains notes, Screencast and the solutions for the graded assignments and JavaScript Programming Assignments of Modern Application Development 2 course in their respective folder
About Python assignment for IIT Madras Tools for data science
Modern Application Development I (feel free to contribute :))
Music Streaming App Project for AppDev 1 in IIT Madras BSc Degree
This are the MAD-1 Notes for the IITM BS In Data Science Degree.
Collecting YouTube data using google API and storing the data in MongoDB(NoSQL) and Migrating the stored data from MongoDB into SQL and creating a user friendly Streamlit web app for the visualization and to get a better understanding of the YouTube channels and video details. All with the help of Python and Python libraries.
This repository hosts the Python Graded Programming Assessments (GRPA) for the IIT Madras BS Data Science "Introduction to Python" course, created by Shashwat Upadhyay.
This repository contains all the Lab Assignments of the Modern Application Development 1 theory.
This is a repository containing all the Python codes to important questions in assignments (both PPAs and GrPAs), Practice Tests and Programming exams in the IIT Madras Online B.Sc. Degree course.
Official Website of Sahara - The Social Welfare Society of IIT Madras
Official Website
Library management application
This repository contains the solutions for the graded assignments and JavaScript programming assignments of the Modern Application Development 2 course offered by IIT Madras as a part of the BS in Data Science and Programming program.
Notebooks from ML Techniques course at IITM Online degree programme
Notebooks from ML Practice course at IITM Online degree programme
Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.
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