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Ailearning ⭐ 37,934

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

H2o 3 ⭐ 6,618

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

General Assembly's 2015 Data Science course in Washington, DC

Machinelearningwithme ⭐ 191

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

Machine_learning ⭐ 183

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Aulas da Escola de Inteligência Artificial de São Paulo

经典机器学习算法的极简实现

Amazon Product Recommender System ⭐ 113

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Machine Learning In Action ⭐ 96

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Machinelearningalgorithm ⭐ 82

一些常用的机器学习算法实现

Essential NLP & ML, short & fast pure Python code

Heart_disease_prediction ⭐ 49

Heart Disease prediction using 5 algorithms

Opentextclassification ⭐ 41

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

Text Classification Cn ⭐ 33

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Predicting Football Match Outcome Using Machine Learning ⭐ 29

Football Match prediction using machine learning algorithms in jupyter notebook

Machine Learning Models ⭐ 26

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

20 Newsgroups_text Classification ⭐ 24

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Text Classification ⭐ 23

Text Classification using Multinomial Naive Bayes (implemented from scratch in python3)

Gauss Naive Bayes ⭐ 19

Gauss Naive Bayes in Python From Scratch.

Naive Bayes ⭐ 18

A Python implementation of Naive Bayes from scratch.

Sentiment Analysis Using Python ⭐ 18

Large Data Analysis Course Project

Machine Learning library for python

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Text Classification Benchmark ⭐ 16

文本分类基准测试

Signal Processing Toolkit, including ML models with visualization

Implementation Of Ml Algos In Python ⭐ 13

Implementing various machine learning algorithm from scratch

Gaussiannb ⭐ 12

Gaussian Naive Bayes (GaussianNB) classifier

Deeplearning.ai Natural Language Processing ⭐ 12

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

Harnessing Machine Learning for classifying and estimating Twitter user's opinions and thoughts on a given topic.

Sentimentanalysis ⭐ 10

Implemented text analysis using machine learning models to classify movie review sentiments as positive or negative. Built using Python 3.6.1.

A deck of Naive Bayes algorithms with sklearn-like API 🃏

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Emoji Prediction Using Deep Learning ⭐ 7

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Naivebayes_learningcurves ⭐ 7

Naive Bayes comparison and learning curves

Naivefeatureselection ⭐ 6

Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884

Applied Machine Learning ⭐ 6

Applied Machine Learning

Extended Naive Bayes ⭐ 6

[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.

Weighted Naive Bayes ⭐ 6

Code repository for general and weighted naive Bayes classifiers

🐍 algorithm for machine learning

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

Syndrome_prediction ⭐ 5

Syndrome Prediction Helps to predict the disease through analysing group of symptoms

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