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46 search results found

Smile ⭐ 5,833

Statistical Machine Intelligence & Learning Engine

Feature_engine ⭐ 1,651

Feature engineering package with sklearn like functionality

Machine Learning in R

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Deep_learning_machine_learning_stock ⭐ 1,169

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

Data Science Interview Questions And Answers ⭐ 1,169

Data science interview questions with answers. Not ideally (yet)

Awesome Interpretable Machine Learning ⭐ 856

Lofo Importance ⭐ 785

Leave One Feature Out Importance

EvalML is an AutoML library written in python.

Amazing Feature Engineering ⭐ 485

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Feature Selection ⭐ 475

Features selector based on the self selected-algorithm, loss function and validation method

Easy to use Python library of customized functions for cleaning and analyzing data.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Scikit Rebate ⭐ 308

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

My Data Competition Experience ⭐ 271

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Feature Selection For Machine Learning ⭐ 248

Code repository for the online course Feature Selection for Machine Learning

Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

Powershap ⭐ 153

A power-full Shapley feature selection method.

Boostaroota ⭐ 139

A fast xgboost feature selection algorithm

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

Music Emotion Recognition ⭐ 117

A Machine Learning Approach of Emotional Model

Relataly Public Python Tutorials ⭐ 109

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

Desbordante ⭐ 54

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Streamline ⭐ 47

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

Relief Based Algorithms of ReBATE implemented in Python with Cython optimization.

Omicselector ⭐ 26

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

Datatalks ⭐ 24

A list of past meetups of the DataTalks meetup series and related resources.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Artificial_curiosity ⭐ 12

Adaptive Reinforcement Learning of curious AI basketball agents

Big_data_course_rimini_2021 ⭐ 11

Questa repository contiene tutto il materiale didattico utilizzato durante il corso di "Laboratorio Big Data" in collaborazione con il comune di Rimini.

Autolearn ⭐ 11

AutoLearn, a domain independent regression-based feature learning algorithm.

Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Atlantic ⭐ 10

Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning

Interactive ML Toolset

Autofeatselect ⭐ 8

A python library to automate feature selection process for machine learning projects.

Sk Transformers ⭐ 7

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠

Evopreprocess ⭐ 7

A Python Toolkit for Data Preprocessing with Evolutionary and Nature-Inspired Algorithms.

Heart Attack Prediction ⭐ 6

A Heart Attack Risk Prediction Project

Featurehub ⭐ 6

The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

Dimensionality Reduction Pca ⭐ 5

Dimensionality reduction is basically a process of reducing the amount of random features,attributes variables or in this case called dimensions in a dataset and leaving as much variation in the dataset as possible by obtaining a set of only relevant features to increase the effiency of a model.

Tech Projects and Notes

Python implementation of the feature relevance interval (FRI) algorithm

Titanic Passenger Survival Prediction ⭐ 5

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.

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