mynameisjanus / 686xMachineLearningLinks
CheatSheet for 6.86x
☆22Updated 4 years ago
Alternatives and similar repositories for 686xMachineLearning
Users that are interested in 686xMachineLearning are comparing it to the libraries listed below
Sorting:
- CheatSheet for 6.431x☆16Updated 4 years ago
- CheatSheet for 14.310x☆11Updated 5 years ago
- CheatSheet for 18.6501x☆26Updated 5 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆324Updated last year
- Data Analysis: Statistical Modeling and Computation in Applications☆57Updated 4 years ago
- Introduction to ML packages for the 6.86x course☆389Updated 5 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start …☆11Updated 4 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆182Updated last year
- MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning☆16Updated 6 years ago
- Fundamentals of Statistics☆44Updated 3 years ago
- Probability - The Science of Uncertainty and Data☆115Updated 6 years ago
- EdX course from MIT on machine learning 6.86x☆11Updated 4 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 5 years ago
- An in-depth exploration to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-o…☆9Updated 5 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆283Updated 4 years ago
- ☆152Updated 3 years ago
- Code for my data science articles☆47Updated 2 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- An introduction to data science in Python, for people with no programming experience.☆437Updated 2 months ago
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆105Updated 2 months ago
- Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generati…☆121Updated last month
- ☆10Updated 5 years ago
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆51Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 3 years ago
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆48Updated 3 years ago
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆96Updated 3 years ago