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
- Data Analysis: Statistical Modeling and Computation in Applications☆60Updated 4 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.☆185Updated last year
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆327Updated last year
- An introduction to data science in Python, for people with no programming experience.☆441Updated 3 months ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- Python Machine Learning By Example Third Edition, published by Packt☆205Updated 3 weeks ago
- Fundamentals of Statistics☆45Updated 4 years ago
- Code for my data science articles☆47Updated 2 years ago
- MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning☆16Updated 6 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆105Updated 4 months ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆131Updated last week
- ☆152Updated 3 weeks ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆434Updated 11 months ago
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆429Updated last year
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆102Updated last year
- Probability - The Science of Uncertainty and Data☆120Updated 6 years ago
- ☆140Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆52Updated 3 years ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆342Updated 5 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 6 years ago
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆97Updated 3 years ago
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆220Updated 2 weeks ago
- ☆151Updated 3 years ago
- Programs☆116Updated 10 months ago