random-forest

There are 7183 repositories under random-forest topic.

  • 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

    Language:MATLAB321

  • miceforest

    Multiple Imputation with LightGBM in Python

    Language:Python317

  • handson-ml

    도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

    Language:Jupyter Notebook288

  • decision-tree-js

    Small JavaScript implementation of ID3 Decision tree

    Language:JavaScript281

  • ISL-python

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

    Language:Jupyter Notebook279

  • ProphitBet-Soccer-Bets-Predictor

    ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

    Language:Python276

  • shifu

    An end-to-end machine learning and data mining framework on Hadoop

    Language:Java249

  • ml-projects

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

    248

  • Python_Decision_Tree_and_Random_Forest

    I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

    Language:Jupyter Notebook245

  • quickml

    A fast and easy to use decision tree learner in java

    Language:Java231

  • Network-Intrusion-Detection

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

    Language:Jupyter Notebook230
  • p2rank

    p2rank

    P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

    Language:Groovy230

  • randomForestExplainer

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

    Language:R229

  • cqr

    Conformalized Quantile Regression

    Language:Jupyter Notebook228

  • aws-machine-learning-university-dte

    Machine Learning University: Decision Trees and Ensemble Methods

    Language:Jupyter Notebook226
  • shapley

    shapley

    The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

    Language:Python213

  • Handwritten-Digit-Recognition-using-Deep-Learning

    Handwritten Digit Recognition using Machine Learning and Deep Learning

    Language:Python209

  • Flight-Price-Prediction

    Now you can get Flight ticket fare with this wonderful end to end project.

    Language:Jupyter Notebook207

  • tensorflow-ml-nlp

    텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

    Language:Jupyter Notebook199

  • The-Data-Science-Workshop

    A New, Interactive Approach to Learning Data Science

    Language:Jupyter Notebook189

  • Textclassification

    several methods for text classification

    Language:Python188

  • Machine-Learning-in-R

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

    Language:CSS186

  • Machine_Learning_Algorithms_from_Scratch

    This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

    Language:Jupyter Notebook183

  • infiniteboost

    InfiniteBoost: building infinite ensembles with gradient descent

    Language:Jupyter Notebook183

  • Compendium-of-free-ML-reading-resources

    Compendium of free ML reading resources

    175

  • example-get-started

    Get started DVC project (NLP, random forest)

    Language:Python168

  • quantile-forest

    Quantile Regression Forests compatible with scikit-learn.

    Language:Python165

  • tpot2

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

    Language:Jupyter Notebook159

  • Customer-Survival-Analysis-and-Churn-Prediction

    In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

    Language:Jupyter Notebook152

  • 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)

    Language:Python149

  • YouTube-Like-predictor

    YouTube Like Count Predictions using Machine Learning

    Language:Jupyter Notebook141
  • VariantSpark

    VariantSpark

    machine learning for genomic variants

    Language:JavaScript138

  • HFT-price-prediction

    A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

    Language:Python136

  • AIML-Projects

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

    Language:Jupyter Notebook129

  • How-to-score-0.8134-in-Titanic-Kaggle-Challenge

    Solution of the Titanic Kaggle competition

    Language:Jupyter Notebook124

  • IoT-Network-Intrusion-Detection-System-UNSW-NB15

    Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

    Language:Jupyter Notebook120