ISLR-python
Machine Learning textbook
An implementation of selected chapters from the book on Machine Learning with Python code
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
4k stars
205 watching
2k forks
Language: Jupyter Notebook
last commit: over 2 years ago islrislr-pythonmachine-learningpredictive-modelingstatistical-learning
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python package for working with Bayesian Networks and related models. | 2,776 |
| A repository of notebooks and code for teaching machine learning with Python | 7,483 |
| A repository of teaching materials, code, and data for various data analysis and machine learning projects. | 6,153 |
| Provides a comprehensive set of statistical modeling tools and techniques for data analysis and interpretation in Python. | 10,245 |
| A Python library for online machine learning that provides an incremental learning framework for various algorithms and models | 5,121 |
| Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |
| Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
| Materials and IPython notebooks for data analysis with Python | 22,389 |
| A high-level interface for statistical data visualization | 12,669 |
| A probabilistic modeling library with flexible and modular implementation of various probability distributions. | 3,389 |
| Provides implementations of fundamental machine learning models and algorithms from scratch in Python | 24,092 |
| A comprehensive Python module for web mining and analysis of text data. | 8,758 |
| A Python package implementing Quinlan's Cubist regression model for generating rule-based predictive models | 44 |
| An implementation of various algorithms and data structures in Python. | 3,053 |
| A Python package for building probabilistic models of time series data using deep learning techniques. | 4,677 |