Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
python-ml 开源项目推荐(30 个)
python-ml 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 30 个仓库❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
A machine learning library for Python and Rust, for PyTorch, Tensorflow and SKLearn models
🟣 Python Ml interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
Collection of Notebooks from 30 Days of ML Challenge
Learn-python is a comprehensive repository designed to cover various aspects of Python learning. It includes examples, tutorials, and exercises to help beginners and developers enhance their Python programming skills. Perfect for anyone looking to start or advance their Python journey.
This repository is a long-term, evolving project focused on implementing Machine Learning algorithms from scratch and with optimized/library-based approaches side by side.
This project aims to forecast inflation rates using machine learning techniques. Leveraging historical economic data on GDP and unemployment rates, the model provides predictions for future inflation trends.
Crops disease detection mainly for tomato plants
AI-powered Resume Optimization & Job Matching Platform. Analyzes job descriptions, detects ATS keyword gaps, rewrites resume bullet points using DeepSeek V3, and exports print-ready PDFs.
GripSync — AI-Powered Gaming Setup Optimization & Hand Tracking Platform (FastAPI + MediaPipe + Next.js)
❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++, Cognonic, etc.
Machine Learning coursework covering financial distress classification and diabetes progression regression, with full Jupyter notebooks and reports.
This repository contains a complete, runnable example showing how Customer Success teams can use Logistic Regression to predict churn probability and act early.
This repository explores statistical and machine learning methods for classification and function approximation. It covers k-NN, Decision Trees, Information Theory, and Convexity, with Python implementations, theoretical explanations, model comparisons, and visualizations, making it a valuable resource for ML research and applications.
Analyse et Prédiction des Prix de l'Immobilier en Californie
https://www.linkedin.com/in/sarbah-fred-junior
This workspace contains a trained MobileNetV2 model for bird-species classification, the notebooks used to train and test it, and the dataset layout used for training/validation/testing.
Stock predictions via ML - live long and prosper
ML-based anomaly detection system for aircraft telemetry sensor data enabling early fault detection and reliability monitoring.
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/python-ml。
- 该话题在 GitHub 上共有 30 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 1793 Star,覆盖 5 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。