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24 search results found

Awesome Decision Tree Papers ⭐ 2,266

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

Tindetheus ⭐ 74

Build personalized machine learning models for Tinder using Python

Machineshop ⭐ 62

MachineShop: R package of models and tools for machine learning

Website sources for Applied Machine Learning for Tabular Data

A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

Naivebayes ⭐ 33

High performance implementation of the Naive Bayes algorithm in R

Machinelearningseries ⭐ 28

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

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Caltech_birds ⭐ 23

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Hyperbox Brain ⭐ 23

A scikit-learn compatible hyperbox-based machine learning library in Python

Seven Segment Ocr ⭐ 21

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

Tf 1d 2d Resnetv1 2 Seresnet Resnext Seresnext ⭐ 18

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

Deep Learning Workshop ⭐ 14

The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

A tool to support using classification models in low-power and microcontroller-based embedded systems.

This is a custom library for data processing, visualization and machine learning tools.

Myers Briggs Personality Prediction ⭐ 11

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Forest Fire Prediction ⭐ 10

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Forecasting Us Elections ⭐ 10

Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.

Foundationalml ⭐ 9

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Cross platform audio feature extraction and sound classification tool

Heart Disease Classifier Web App ⭐ 8

Heart disease classifier web app

Data_science_introduction_with_python ⭐ 8

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Predict Blog Author Features ⭐ 7

Predicts gender, age, label, and zodiac sign of the writer from the given text.

Craftml Rs ⭐ 7

A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

Bert Classifier ⭐ 7

A general text classifier based on BERT. Multi-process data processing, multi-gpu parallel training, rich monitoring indicators.

Signlanguagedetection ⭐ 6

Machine Learning Based Detection Of ASL(American Sign Language) Gestures

Nayn.classifier ⭐ 6

News Classification in Turkish

Prediciting Hits On Spotify ⭐ 6

Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning

Jsonstack Model ⭐ 5

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

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