Machine Learning
- AWS
Machine Learning Foundations Course - AWS (Udacity)
- Caltech's Learning From
data
- Complete
Machine Learning Bootcamp - Code for Cause
- Complete
Machine Learning in Python playlist - Krish Naik
- Convolutional
Neural Network - Coding Lane
- Deep
Learning Fundamentals - DeepLearning.TV (cognitiveclass.ai)
- Google's
Machine Learning Crash Course
- Hacker's guide to
learning model
- Intro to
Machine Learning (Kaggle)
- Intro
to Machine Learning Udacity (Udacity)
- Intro
to Machine Learning using Microsoft Azure - Microsoft (Udacity)
- Intro
to Self-Driving Cars Nanodegree - Cezanne Camacho, Andrew Paster,
Anthony Navarro, Tarin Ziyaee, et al. (Udacity)
- Introduction
to Machine Learning - MIT Open Learning Library
- Linear
Algebra for Machine Learning - Jon Krohn
- Machine Learning (SoloLearn) (account
required)
- Machine
Learning - Nerd's Lesson
- Machine
Learning - StatQuest with Josh Starmer
- Machine
Learning — Andrew Ng, Stanford University - Andrew Ng
- Machine Learning Course
for Beginners - freeCodeCamp.org
- Machine
Learning Course With Python - Siddhardhan
- Machine
Learning Recipes with Josh Gordon
- Machine
Learning Specialization - Andrew Ng, Eddy Shyu, Aarti Bagul,
Geoff Ladwig (Coursera)
- Machine
Learning Tutorial in Python - edureka!
- Machine
Learning Tutorial Python | Machine Learning For Beginners -
Dhaval Patel
- Machine
Learning with Python - Saeed Aghabozorgi (cognitiveclass.ai)
- Machine
Learning with Python: Zero to GBMs (Jovian)
- Made with ML - Goku Mohandas
(Applied ML · MLOps · Production)
- Mathematics
for Machine Learning - Linear Algebra - Imperial College London,
Dr David Dye, Dr Sam Cooper
- Mathematics
for Machine Learning - Multivariate Calclus - Imperial College
London, Dr David Dye, Dr Sam Cooper
- Pattern
Recognition and Machine Learning
- Python Machine Learning
and AI Mega Course - Learn 4 Different Areas of ML & AI -
Tech With Tim (Tim Ruscica)
- Python
Machine Learning Tutorials - Tech With Tim (Tim Ruscica)
- PyTorch tutorials -
PyTorch.org
- Stanford SEE 229 - Machine
Learning
- Stanford University
Machine Learning
- Statistics
for Applications - MIT OpenCourseWare
- Understand
Machine Learning Engineering by Building Projects - Alexey
Grigorev
- Understanding AI from
Scratch – Neural Networks Course - Radu (FreeCodeCamp)
