My Jupyter notebooks for CS156 / Machine Learning for Science and Profit, an undergraduate Machine Learning course at Minerva.
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
Material for the lab-session of the "Intro to ML" course at UCL.
Minimalistic example code for various machine learning and deep learning topics
This repository contains all my small projects related with Data Science and Machine Learning.
All notes and materials for the CS229: Machine Learning course by Stanford University
General Assembly's Data Science course in Washington, DC
Automated Machine Learning course in Winter 2023/24
A collection of commonly used machine learning algorithms implemented in Python/Numpy
This repository consists of all my Machine Learning Projects.
CS234 Courswork
Public facing notes page
Introduction to Machine Learning course for Mathematics and data analysis studies in Winter 2023/...
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)