李航《统计学习方法》复现

Last update: Oct 22, 2021

Related tags

Machine Learning statistic_ml

Overview

本项目复现李航《统计学习方法》每一章节的算法

特点：

笔记摘要：在每个文件开头都会有一些核心的摘要
pythonic：这里会用尽可能规范的方式来实现，包括编程风格几乎严格按照PEP8
循序渐进：前期的算法会更list的方式来做计算，可读性比较强，后期几乎完全为numpy.array的计算，并且辅助详细的注释。

完成情况：

✅ perceptron
✅ KNN
✅ naive baysian
✅ 决策树
✅ 逻辑斯蒂回归
SVM
✅ Adaboost
✅ GMM
✅ HMM
CRF

Owner

long-termist

GitHub Repository

A high performance and generic framework for distributed DNN training

BytePS BytePS is a high performance and general distributed training framework. It supports TensorFlow, Keras, PyTorch, and MXNet, and can run on eith

3.3k Dec 28, 2022

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var

1 Jan 06, 2022

NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

28 Aug 03, 2022

Sleep stages are classified with the help of ML. We have used 4 different ML algorithms (SVM, KNN, RF, NN) to demonstrate them

Sleep stages are classified with the help of ML. We have used 4 different ML algorithms (SVM, KNN, RF, NN) to demonstrate them.

3 Apr 03, 2022

dirty_cat is a Python module for machine-learning on dirty categorical variables.

dirty_cat dirty_cat is a Python module for machine-learning on dirty categorical variables.

637 Dec 29, 2022

Forecast dynamically at scale with this unique package. pip install scalecast

🌄 Scalecast: Dynamic Forecasting at Scale About This package uses a scaleable forecasting approach in Python with common scikit-learn and statsmodels

158 Jan 03, 2023

A unified framework for machine learning with time series

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

6k Jan 06, 2023

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Horovod Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make dis

12.9k Jan 07, 2023

XAI - An eXplainability toolbox for machine learning

XAI - An eXplainability toolbox for machine learning XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contai

875 Dec 27, 2022

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

1 Jan 11, 2022

Evidently helps analyze machine learning models during validation or production monitoring

Evidently helps analyze machine learning models during validation or production monitoring. The tool generates interactive visual reports and JSON profiles from pandas DataFrame or csv files. Current

3.1k Jan 07, 2023

A logistic regression model for health insurance purchasing prediction

Logistic_Regression_Model A logistic regression model for health insurance purchasing prediction This code is using these packages, so please make sur

1 Nov 29, 2021

Banpei is a Python package of the anomaly detection.

Banpei Banpei is a Python package of the anomaly detection. Anomaly detection is a technique used to identify unusual patterns that do not conform to

282 Jan 03, 2023

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Toolkit for Building Robust ML models that generalize to unseen domains (RobustDG) Divyat Mahajan, Shruti Tople, Amit Sharma Privacy & Causal Learning

149 Jan 06, 2023

Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.

10 May 15, 2022