esviswajith95/MLT
Notebooks from ML Techniques course at IITM Online degree programme
This project provides Jupyter notebooks that walk you through various machine learning algorithms from scratch. You'll put in raw datasets and get out a working model with a clear understanding of the math behind it. It's for students, educators, or anyone who wants to learn the fundamental building blocks of machine learning without relying on high-level libraries.
No commits in the last 6 months.
Use this if you are studying machine learning and want to understand the core mathematics and implementation details of common algorithms.
Not ideal if you're looking for a production-ready solution or a quick way to apply advanced machine learning models without diving into the underlying theory.
Stars
30
Forks
8
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 30, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/esviswajith95/MLT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
girafe-ai/ml-course
Open Machine Learning course
Yorko/mlcourse.ai
Open Machine Learning Course
andriygav/MachineLearningSeminars
Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.
MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
dssg/mlforpublicpolicylab
Repo for ML for Public Policy Lab course at CMU