jellis18 / ML-Course-SolutionsLinks
Jupyter Notebooks for Andrew Ng's Machine Learning Coursera Class
☆31Updated 9 years ago
Alternatives and similar repositories for ML-Course-Solutions
Users that are interested in ML-Course-Solutions are comparing it to the libraries listed below
Sorting:
- Repository for CS109A Fall 2018☆149Updated 5 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆419Updated 2 months ago
- This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their caree…☆195Updated 5 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 3 years ago
- ☆110Updated 4 years ago
- ☆62Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆903Updated 4 years ago
- ☆87Updated 2 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆976Updated 3 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆756Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆671Updated 3 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- Created the contents of this repo originally for a workshop I gave at UCLA☆112Updated 5 years ago
- Notes from Introduction to Statistical Learning☆117Updated 7 years ago
- ☆60Updated 6 years ago
- ☆47Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆551Updated 3 years ago
- Materials for my scikit-learn tutorial☆1,805Updated 2 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆690Updated 4 years ago
- Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications☆448Updated last year
- Notes and solutions for the Mathematics for Machine Learning Specialization☆80Updated 6 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆575Updated 5 years ago
- Data Science related resources and cheatsheets☆67Updated last year
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆882Updated 4 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 3 years ago
- Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]☆739Updated 3 years ago