AI比赛相关信息汇总
sklearn-classify 开源项目推荐(87 个)
sklearn-classify 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 87 个仓库TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.
Spam filtering module with Machine Learning using SVM (Support Vector Machines).
Open source malware detection program using machine learning algorithms on system call traces.
ML-powered news classifier: categorise articles via REST API. Built with scikit-learn, model comparison with VotingClassifier, and a REST API service for real-time predictions with Docker and Kubernetes deployment
This is ML project which is based on Classification of Credit Score
文本分类,评论分类,朴素贝叶斯多分类,酒店评论分类
Stat-gram is microservice tool for Business and Influencers on Instagram platform that uses AI to help with Marketing and Management.
Classification of MXenes into metals and non-metals based on physical properties
The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.
Failure prediction for APU’s on a Metro System Research project source code
该项目在 GitHub 上没有填写描述
Heart Disease Analysis
Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD
Sentiment analysis of a Tweets dataset by using machine learning algorithm. Datascience Final Project Jan 2022
This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.
A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
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/sklearn-classify。
- 该话题在 GitHub 上共有 87 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 1082 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 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。