#Statistical-learning
Showing 24 of 24 repositories tagged #statistical-learning, ranked by stars
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
A collection of research papers on decision, classification and regression trees with implementations.
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Teaching Materials for Dr. Waleed A. Yousef
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
My book list
An Introduction to Statistical Learning with Applications in PYTHON
Machine Learning library for the web and Node.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
Website sources for Applied Machine Learning for Tabular Data
Introduction to Statistical Learning with R을 Python으로
Streamline a data analysis process
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
Awesome list for all things AI, ML and deep learning
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.