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

✭ 176

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Randomforestexplainer

A set of tools to understand what is happening inside a Random Forest

✭ 175

r cran random-forest

Machine Learning Is All You Need

🔥🌟《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!

✭ 173

python pytorch tensorflow keras convolutional-neural-networks gan lstm deep-reinforcement-learning resnet dqn logistic-regression random-forest ppo actor-critic ddpg decision-trees trpo

Machine Learning Models

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

✭ 160

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Emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

✭ 154

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Machine Learning With Python

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

Benchm Ml

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.).

✭ 1,835

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Machine Learning In R

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

✭ 144

css machine-learning tutorial cluster xgboost random-forest decision-trees pca

Awesome Decision Tree Papers

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

Youtube Like Predictor

YouTube Like Count Predictions using Machine Learning

✭ 137

jupyter-notebook machine-learning data-science visualization data-analysis random-forest youtube-api

Randomforest

随机森林，Random Forest（RF）

✭ 132

python machine-learning random-forest

Handwritten Digit Recognition Using Deep Learning

Handwritten Digit Recognition using Machine Learning and Deep Learning

✭ 127

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Ml Projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

✭ 127

deep-learning machine-learning docker tensorflow nlp keras text-classification word2vec geolocation svm random-forest lstm-neural-networks tensorboard gensim ab-testing

The Data Science Workshop

A New, Interactive Approach to Learning Data Science

✭ 126

python jupyter-notebook machine-learning regression datascience random-forest feature-engineering

Network Intrusion Detection

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

✭ 119

jupyter-notebook machine-learning random-forest decision-trees

Isl Python

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

✭ 108

jupyter-notebook machine-learning bootstrap logistic-regression random-forest supervised-learning linear-regression pca lda

Text classification

Text Classification Algorithms: A Survey

✭ 1,276

python deep-learning convolutional-neural-networks text-classification recurrent-neural-networks nlp-machine-learning text-processing logistic-regression random-forest decision-trees

Predicting real estate prices using scikit Learn

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)

✭ 78

python machine-learning neural-network xgboost random-forest decision-trees ensemble-learning

Gcforest

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

✭ 1,214

python machine-learning random-forest ensemble-learning

Sporf

This is the implementation of Sparse Projection Oblique Randomer Forest

✭ 70

python r cpp classification random-forest decision-trees

Reproduce Stock Market Direction Random Forests

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

✭ 67

jupyter-notebook paper random-forest reproducibility

Roffildlibrary

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS

✭ 63

library neural-network spark random-forest forex

Edarf

exploratory data analysis using random forests

✭ 62

r machine-learning rstats random-forest exploratory-data-analysis

Stock Market Sentiment Analysis

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

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r machine-learning stock-market random-forest

25daysinmachinelearning

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

✭ 53

python python3 jupyter-notebook machine-learning data-science statistics numpy machine-learning-algorithms machinelearning logistic-regression random-forest linear-regression

Tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

✭ 8,378

python Jupyter Notebook shell machine-learning data-science automation scikit-learn automl xgboost hyperparameter-optimization random-forest feature-engineering automated-machine-learning gradient-boosting model-selection parameter-tuning

Cnn Svm Classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

✭ 33

python tensorflow random-forest

Mljar Supervised

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

✭ 961

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Awesome Fraud Detection Papers

A curated list of data mining papers about fraud detection.

✭ 843

python deep-learning data-science classification data-mining logistic-regression random-forest classifier gradient-boosting

Jsmlt

🏭 JavaScript Machine Learning Toolkit

✭ 22

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Text Classification Benchmark

文本分类基准测试

✭ 18

python machine-learning text-classification xgboost svm logistic-regression random-forest lightgbm

Grt

gesture recognition toolkit

✭ 739

machine-learning random-forest linear-regression kmeans

Awesome Gradient Boosting Papers

A curated list of gradient boosting research papers with implementations.

✭ 704

python deep-learning machine-learning xgboost random-forest classifier lightgbm gradient-boosting h2o

H2o 3

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.

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