本项目复现李航《统计学习方法》每一章节的算法
特点：
完成情况：
Machine care An simple python script to take care of simple maintenance tasks fo
Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Dat
What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss
Organic Alkalinity Sausage Machine A Python toolbox to churn out organic alkalinity calculations with minimal brain engagement. Getting started To mak
PySurvival What is Pysurvival ? PySurvival is an open source python package for Survival Analysis modeling - the modeling concept used to analyze or p
Katana project is a FastAPI template for ASAP 🚀 ML API deployment
Responsible AI Workshop Responsible innovation is top of mind. As such, the tech industry as well as a growing number of organizations of all kinds in
Polyglot Machine Learning example for scraping similar news articles In this example, we will see how we can work with Machine Learning applications w
Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b
Dragonfly is an open source python library for scalable Bayesian optimisation. Bayesian optimisation is used for optimising black-box functions whose
Local Spark Dev Env with Docker Development environment for k8s. Using the spark-operator image to ensure it will be the same environment. Start conta
minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var
Auto_TS: Auto_TimeSeries Automatically build multiple Time Series models using a Single Line of Code. Now updated with Dask. Auto_timeseries is a comp
English | 简体中文 AutoX是什么？ AutoX一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色: AutoX在多个kaggle数据集上，效果显著优于其他解决方案(见效果对比)。 简单易用: AutoX的接口和sklearn类似，方便上手使用。
PyNNDescent PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbo
The Emergence of Individuality
High performance Python GLMs with all the features!
Machine learning algorithms implementation This repository consisits of implementation of various machine learning algorithms. The algorithms implemen
Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset
💯 Days of Machine Learning and Deep Learning Code MACHINE LEARNING TOPICS COVERED - FROM SCRATCH Linear Regression Logistic Regression K Means Cluste
2 Jul 10, 2022
11.7k Dec 30, 2022
1.4k Dec 22, 2022
1 Feb 01, 2022
265 Dec 27, 2022
100 Dec 26, 2022
9 Sep 14, 2022
15 Mar 28, 2022
1 Jan 19, 2022
744 Jan 02, 2023
18 Jan 04, 2022
1 Jan 06, 2022
519 Jan 03, 2023
431 Dec 28, 2022
699 Jan 09, 2023
16 Jul 20, 2022
200 Dec 14, 2022
1 Jan 03, 2022
5 Apr 21, 2022
66 Nov 02, 2022