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40 search results found

Islr Python ⭐ 3,742

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

M2cgen ⭐ 2,411

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

Esl Cn ⭐ 2,283

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Awesome Decision Tree Papers ⭐ 2,266

A collection of research papers on decision, classification and regression trees with implementations.

An Introduction To Statistical Learning ⭐ 1,481

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Statistical Learning Method ⭐ 1,259

《统计学习方法》笔记-基于Python算法实现

Module for statistical learning, with a particular emphasis on time-dependent modelling

The Elements Of Statistical Learning Python Notebooks ⭐ 441

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

The Elements Of Statistical Learning ⭐ 317

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Nonconformist ⭐ 218

Python implementation of the conformal prediction framework.

The Elements Of Statistical Learning Notebooks ⭐ 197

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

Sharing_isl_python ⭐ 188

An Introduction to Statistical Learning with Applications in PYTHON

Isl Python ⭐ 139

Porting the R code in ISL to python. Labs and exercises

Introduction_to_statistical_learning_summary_python ⭐ 109

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

Statistical Learning ⭐ 103

✒统计学习方法第二版（李航）学习笔记、代码实现、课后习题

Adaboost Implementation ⭐ 87

Implementation of AdaBoost algorithm in Python

Generalized Linear Models in Sklearn Style

Introstatlearn ⭐ 58

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

Statistical Learning Methods Note ⭐ 55

李航《统计学习方法》笔记和 Python 实现（不基于任何代数运算库）。

Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.

Conditional Associative Logic Memory

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).

Datascience ⭐ 17

My data science projects, in Python and R, about statistical learning and Bayesian inference.

Tensor Approximation Package: a Python package for the approximation of functions and tensors.

Good Da In Kd ⭐ 14

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

A Simple Statistical Distribution Library in JAX

Statistical_learning_with_python ⭐ 11

Introduction to Statistical Learning with Python -- a workshop I gave at the Computation Institute (U of Chicago) on 2015-01-21

Programs for Information Topology Data Analysis

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

Solving 20Questions with Machine Learning

Stats Mosaic ⭐ 8

Statistical-Minds is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.

Algorithms from the book "Elements of Statistical Learning", implemented in Python

Machine Learning with Python

Machine_learning_study_notes ⭐ 7

Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyanyu.github.io/.

Python codes for the book, An Introduction to Statistical Learning with Applications in R (ISLR)

Risk_calculation_using_backward_elimination_algorithm_in_life_insurance ⭐ 6

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Self Taught Machine Learning ⭐ 5

I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.

Temperflow ⭐ 5

Efficient Multimodal Sampling via Tempered Distribution Flow

Candidate Match Score Web App ⭐ 5

An NLP based Web-App that asks the user to input some Job Posting along with a candidate to list to give scores to the candidates based on their proficiency in the job profile required as an output.

Statlearning Python Pwf ⭐ 5

Introduction to Statistical Learning (with Applications in Python) for ICTP Physics Without Frontiers

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