230 Open source projects that are alternatives of or similar to Textclassification

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

Python code for common Machine Learning Algorithms

I will update this repository to learn Machine learning with python with statistics content and materials

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Heart Disease prediction using 5 algorithms

🏭 JavaScript Machine Learning Toolkit

simple tutorial on Machine Learning with Scikitlearn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

文本分类基准测试

A curated list of data mining papers about fraud detection.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Predicting the winner of 2019 cricket world cup using random forest algorithm

Text Classification Algorithms: A Survey

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

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

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Credit card fraud detection through logistic regression, k-means, and deep learning.

🎓 Tidy tools for academics

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

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

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

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Machine Learning inference engine for Microcontrollers and Embedded devices

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

A python library for decision tree visualization and model interpretation.

Simple NLP in Rust with Python bindings

Natural Language Processing (NLP) library for Crystal

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Learning to create Machine Learning Algorithms

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 minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Vietnamese NLP Toolkit for Node

A New, Interactive Approach to Learning Python

The "Python Machine Learning (1st edition)" book code repository and info resource

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

Collection of stats, modeling, and data science tools in Python and R.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

A collection of research papers on decision, classification and regression trees with implementations.

A repository for recording the machine learning code

Arabic Open Domain Question Answering System using Neural Reading Comprehension

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

YouTube Like Count Predictions using Machine Learning

This is the implementation of Sparse Projection Oblique Randomer Forest

Reproduce research from paper "Predicting the direction of stock market prices using random forest"