duchesnay / pystatsmlLinks
Statistics and Machine Learning in Python
☆196Updated last month
Alternatives and similar repositories for pystatsml
Users that are interested in pystatsml are comparing it to the libraries listed below
Sorting:
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆427Updated 9 months ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆105Updated last month
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆451Updated 11 months ago
- A book containing step by step instructions to train deep learning models for a variety of tasks☆37Updated last year
- An introduction to data science in Python, for people with no programming experience.☆435Updated last month
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆428Updated 10 months ago
- Errata and code for Effective Pandas book☆364Updated 2 years ago
- Python Machine Learning By Example Third Edition, published by Packt☆200Updated 2 years ago
- ☆145Updated last year
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆361Updated 3 years ago
- Interpretable Machine Learning with Python, published by Packt☆466Updated 2 years ago
- Inside Deep Learning: The math, the algorithms, the models☆258Updated 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 3 weeks ago
- Debugging Machine Learning Models with Python, published by Packt☆60Updated 5 months ago
- Essential mathematics for applied machine learning and data science☆74Updated 3 years ago
- Python Data Analysis, Third Edition, Published by Packt☆205Updated 2 months ago
- Implementation of Basic Machine Learning Algorithms on small datasets using Scikit Learn.☆53Updated 3 years ago
- Pandas Cookbook Second Edition, published by Packt☆295Updated 2 years ago
- Tutorial material on machine learning with dirty data in Python☆60Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆209Updated 2 months ago
- Hyperparameter Tuning with Python☆184Updated last year
- ☆152Updated 3 years ago
- Code repository for the book feature selection in machine learning☆29Updated 3 months ago
- Python Feature Engineering Cookbook, published by Packt☆480Updated 2 years ago
- Source code for the book "Math for Deep Learning" (No Starch Press)☆162Updated 3 months ago
- Cleaning Data for Effective Data Science, published by Packt☆99Updated 2 years ago
- ☆114Updated 3 years ago
- Present your data as an effective and compelling story☆108Updated 5 years ago
- ☆67Updated 4 years ago
- All of the figures and notebooks for my deep learning book, for free!☆495Updated 2 weeks ago