tdpetrou / Machine-Learning-Books-With-PythonLinks
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
☆939Updated 3 years ago
Alternatives and similar repositories for Machine-Learning-Books-With-Python
Users that are interested in Machine-Learning-Books-With-Python are comparing it to the libraries listed below
Sorting:
- ☆110Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆555Updated 3 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,380Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆345Updated last year
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆758Updated 5 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆977Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆422Updated 3 months ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆188Updated last year
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆791Updated 3 years ago
- ☆87Updated 3 years ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆425Updated last month
- Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.☆555Updated 8 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆86Updated 9 years ago
- Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications☆449Updated last year
- Introduction to Machine learning with Python, 4h interactive workshop☆312Updated 5 years ago
- Lesson material on data science and machine learning topics/concepts☆151Updated 4 years ago
- Source code for my collection of articles on using pandas.☆1,570Updated 3 years ago
- Data Science Best Practices with pandas☆530Updated 5 years 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
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- Jupyter notebook for Udemy course: Python data science and machine learning bootcamp☆225Updated 8 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆281Updated 9 years ago
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆288Updated 3 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆717Updated 3 years ago
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆93Updated last week
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆907Updated 4 years ago
- Cracking the Data Science Interview☆361Updated 6 years ago
- An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.☆298Updated 7 years ago