481 Open source projects that are alternatives of or similar to Awesome Decision Tree Papers

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

🦄 使用 RecyclerView 实现店铺分组购物车。 高仿京东购物车、高仿淘宝购物车、高仿天猫购物车

Generalized Random Forests

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

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Simple Symfony 4 shopping cart application. App boilerplate

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

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Statistical inference on machine learning or general non-parametric models

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A python library to build Model Trees with Linear Models at the leaves.

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Machine Learning library for the web and Node.

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Targeted Learning for Survival Analysis

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VirtoCommerce Storefront for ASP.NET Core 3.1 repository

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Secure collaborative training and inference for XGBoost.

🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

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

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Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

⛔️ ARCHIVED ⛔️ 🐒 R package for text analysis with Monkeylearn 🐒

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.

Example Storefront is Reaction Commerce’s headless ecommerce storefront - Next.js, GraphQL, React. Built using Apollo Client and the commerce-focused React UI components provided in the Storefront Component Library (reactioncommerce/reaction-component-library). It connects with Reaction backend with the GraphQL API.

Deep Learning using Rectified Linear Units (ReLU)

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Computer vision project to automatically recognize digits characters in a seven-segments display

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

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Generative Forests in Python

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Integrated online shop based on Laravel 8 and the Aimeos e-commerce framework

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

The official Engagement Cloud for Magento extension

Natural Gradient Boosting for Probabilistic Prediction

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An extension of XGBoost to probabilistic forecasting

licensechecker (lc) a command line application which scans directories and identifies what software license things are under producing reports as either SPDX, CSV, JSON, XLSX or CLI Tabular output. Dual-licensed under MIT or the UNLICENSE.

Automated script for Whole Foods and Amazon Fresh delivery slot

Machine Learning models from scratch with a better visualisation

Allstate Kaggle Competition ML Capstone Project

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

Deep and Machine Learning for Microscopy

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

subsemble R package for ensemble learning on subsets of data