AI比赛相关信息汇总

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。

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.

Open source malware detection program using machine learning algorithms on system call traces.

Classify news articles into different categories using Machine Learning

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.

Heart Disease Analysis

Cat vs Dog Classification using SVM and KNN Classifiers from the Sklearn Library

A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course

Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD

Sentiment analysis of a Tweets dataset by using machine learning algorithm. Datascience Final Project Jan 2022

Failure prediction for APU’s on a Metro System Research project source code

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.

Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"

Simple Classification ML Algorithm