mynameisjanus / 186501xStatisticsLinks
CheatSheet for 18.6501x
☆26Updated 5 years ago
Alternatives and similar repositories for 186501xStatistics
Users that are interested in 186501xStatistics are comparing it to the libraries listed below
Sorting:
- CheatSheet for 14.310x☆11Updated 5 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- CheatSheet for 6.431x☆16Updated 4 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆24Updated 4 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆331Updated last year
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆40Updated 5 years ago
- Introduction to ML packages for the 6.86x course☆402Updated 5 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 3 years ago
- CheatSheet for 6.86x☆22Updated 5 years ago
- Python code written for MIT's Machine Learning course offered on edX☆125Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆246Updated 3 years ago
- ☆115Updated 3 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆419Updated last month
- ☆110Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆575Updated 5 years ago
- Matt Brems' Missing Data Workshop☆83Updated 2 years ago
- Repository for CS109A Fall 2018☆150Updated 5 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Probability - The Science of Uncertainty and Data☆122Updated 6 years ago
- Resources for Machine Learning Pocket Reference☆267Updated 4 years ago
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 5 years ago
- ☆62Updated 6 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆60Updated 4 years ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆343Updated 5 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆16Updated 6 years ago
- An introduction to data science in Python, for people with no programming experience.☆451Updated 5 months ago
- Getting started☆19Updated 5 years ago