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).

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

文本分类，评论分类，朴素贝叶斯多分类，酒店评论分类

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.

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

Loan Prediction Problem Analysis

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.

Cat vs Dog Classification using SVM and KNN Classifiers of Sklearn Library

Hyperparameter tuning using Sklearn Pipelines

试题分类 学习sklearn的练手项目

TP final de la materia 7550 - Introduccion a los sistemas inteligentes

🏎️ Vehicle Detection Project using OpenCV and scikit-learn for the Self-Driving Car Nanodegree at Udacity

Machine Learning Methods in Python for LC-MS Fingerprinting

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

Assignment & notes from CS677-Data Science with Python. Use stock prices and features (average daily return and volatility) as the required dataset and apply many basic classifier models and algorithms of data science in analysis.

Regression and Classification task with sklearn.

sohu_news classification

Aim was to classify the provided data with different classifiers and compare their performance. 17 different classifiers were employed and their results are documented in a Jupyter notebook

Language processing for better query answering

Beer Wine Classification by Machine Learning based on alcoholic content and color

Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD

Some nlp stuff.

we use keras and tensorflow and sklearn to classify health level of student by using Nursey UCI Dataset

Based on the powerful econometrics and statistical background and rich data science resources of School of Economics (SOE) and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, WISER CLUB is a data science mutual aid learning organization jointly organized by SOE and WISE graduate students and undergraduate students.