Python实证统计降尺度软件包。pyESD 正在积极开发中,欢迎所有合作者加入。该软件包的目的是利用来自重新分析数据集的预测变量(例如,ERA5)到点数尺度。pyESD采用了许多机器学习和AL作为传递函数。
sckit-learn 开源项目推荐(1,146 个)
sckit-learn 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,146 个仓库A machine learning project that predicts laptop prices based on various hardware specifications using advanced regression models and a user-friendly web interface.
Machine learning fundamentals
A Deep Learning based Fashion Recommendation System using the ResNET50
This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.
该项目在 GitHub 上没有填写描述
Thesis project: topic categorization and sentiment analysis on twitter with Apache Spark
🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.
🚀 Complete ML Project: Salary Prediction using Linear Regression & Streamlit. 95.6% accuracy, interactive web interface, clean dataset, pre-trained model. Perfect for learning ML, web development, and practical HR applications.
Machine Learning and Deep Learning Tutorial
Building a Machine Learning Library from scratch using Python3, based on SOTA library Scikit-learn
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
Free High-Quality Financial Data in Azure
Nova: A voice-activated AI data assistant that combines 🤖 natural language processing with 📊 advanced analytics. Features 🎤 real-time speech recognition, AI-powered insights, interactive visualizations, and a 🌙 dark-themed UI. Built with ⚛️ React, 🐍 Flask, and Google’s Gemini AI.
My Python learning experience 📚🖥📳📴💻🖱✏
Custom classifiers to detect sexist language.
Machine Learning Projects in Python. Examples of popular machine learning algorithms with interactive Jupyter code explained
Machine Learning Project
We use our customer geolocation data to perform a clustering algorithm to get several clusters in which the member data of each cluster are closest to each other using KMeans and Constrained-KMeans Algorithms.
Improve access to healthcare services and reduce costs.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/sckit-learn。
- 该话题在 GitHub 上共有 1,146 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 364 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。