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14 search results found

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Metarank ⭐ 1,949

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Deep_learning_machine_learning_stock ⭐ 1,166

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Kaggler ⭐ 723

Code for Kaggle Data Science Competitions

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Mlnotebooks ⭐ 52

Demonstration notebooks for Machine Learning

Data Science Regular Bootcamp ⭐ 39

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

Easiest way to use AI models without coding (Web UI & API support)

A lightweight and visual AutoML system

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Data Science End To End ⭐ 22

A Respository to get you job ready as a Data Scientist

Kivyandroidclassification ⭐ 21

Image Classification for Android using Artificial Neural Network using NumPy and Kivy.

Quora Paraphrase Question Identification ⭐ 21

Paraphrase question identification using Feature Fusion Network (FFN).

Instacart Market Basket Analysis ⭐ 17

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

Predict Soccer Ball Location ⭐ 16

"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing

Seismic Features For Machine Learning ⭐ 11

This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

Mml Feature Learning ⭐ 8

Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks

Phd Dissertation ⭐ 7

Dissertation (Jeff Heaton)

Oralcancerdetectiononctimages ⭐ 6

C++ implementation of oral cancer detection on CT images

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