mynameisjanus / 6431xProbabilityLinks
CheatSheet for 6.431x
☆16Updated 4 years ago
Alternatives and similar repositories for 6431xProbability
Users that are interested in 6431xProbability are comparing it to the libraries listed below
Sorting:
- CheatSheet for 14.310x☆11Updated 5 years ago
- CheatSheet for 6.86x☆22Updated 4 years ago
- CheatSheet for 18.6501x☆26Updated 5 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆60Updated 4 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆327Updated last year
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- Introduction to ML packages for the 6.86x course☆396Updated 5 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆24Updated 3 years ago
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆40Updated 5 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 6 years ago
- EdX course from MIT on machine learning 6.86x☆11Updated 4 years ago
- ☆10Updated 5 years ago
- A New, Interactive Approach to Learning Data Science☆237Updated 2 weeks ago
- An introduction to data science in Python, for people with no programming experience.☆441Updated 3 months ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆434Updated 11 months ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 3 years ago
- Fundamentals of Statistics☆45Updated 4 years ago
- ☆115Updated 3 years ago
- Python Machine Learning by Example, Fourth Edition☆74Updated last year
- 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
- Resources for Machine Learning Pocket Reference☆265Updated 3 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Repository for the book Grokking Machine Learning, by Manning Editors☆720Updated last month
- Deep Learning with TensorFlow, Keras, and PyTorch☆645Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆212Updated 3 weeks ago
- ☆140Updated 3 years ago
- MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning☆16Updated 6 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