davidrosenberg / mlcourseLinks
Machine learning course materials.
☆574Updated last year
Alternatives and similar repositories for mlcourse
Users that are interested in mlcourse are comparing it to the libraries listed below
Sorting:
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆757Updated 4 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆901Updated 4 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 week
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 6 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- ☆110Updated 4 years ago
- Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)☆36Updated 3 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆564Updated last year
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆491Updated 6 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆541Updated 6 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆313Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆207Updated 4 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆789Updated 2 years ago
- UCL MSc Computational Statistics and Machine Learning Revision Notes☆288Updated 7 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 10 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆276Updated 7 years ago
- Linear Algebra and Optimization for Data Science☆24Updated 4 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆370Updated 4 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆687Updated 4 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Updated 7 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆280Updated 8 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆721Updated 5 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 5 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆548Updated 2 years ago