533 Open source projects that are alternatives of or similar to Sporf

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

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…

🍊 📊 💡 Orange: Interactive data analysis

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Machine Learning University: Decision Trees and Ensemble Methods

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

A python implementation of C4.5 algorithm by R. Quinlan

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)

Text Classification Algorithms: A Survey

🔥🌟《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!

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

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

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

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Go Scoring API for PMML

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

simple tutorial on Machine Learning with Scikitlearn

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

Conceptual & empirical comparisons between decision forests & deep networks

Ruby Scoring API for PMML

A tool for visualizing the structure and performance of Random Forests 🌳

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

Machine Learning models from scratch with a better visualisation

Online machine learning methods

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

A python library for decision tree visualization and model interpretation.

An Interactive Approach to Understanding Deep Learning with Keras

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

Misc Statistics and Machine Learning codes in R

Python code for common Machine Learning Algorithms

A curated list of data mining papers about fraud detection.

Handwritten Digit Recognition using Machine Learning and Deep Learning

Machine learning for C# .Net

Simple machine learning library / 簡單易用的機器學習套件

🏭 JavaScript Machine Learning Toolkit

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Heatmap-integrated Decision Tree Visualizations

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Multi-class confusion matrix library in Python

Python wrapper to small NORB dataset

A collection of tools for chemometrics and machine learning written in Julia.

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

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

TiMBL implements several memory-based learning algorithms.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Yet another neural network library

All kinds of neural text classifiers implemented by Keras

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

A Julia machine learning framework

exploratory data analysis using random forests

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

A comparative assessment of machine learning classification algorithms applied to poverty prediction

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

PHP-ML - Machine Learning library for PHP