FIFA-2019-AnalysisThis is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
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Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
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tsflexFlexible time series feature extraction & processing
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Amazing Feature EngineeringFeature 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.
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NyaggleCode for Kaggle and Offline Competitions
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TsfelAn intuitive library to extract features from time series
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LightautomlLAMA - automatic model creation framework
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GeomancerAutomated feature engineering for geospatial data
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Fe4ml Zh📖 [译] 面向机器学习的特征工程
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Hanzi char featurizer汉字字符特征提取器 (featurizer),提取汉字的特征(发音特征、字形特征)用做深度学习的特征 | A Chinese character feature extractor, which extracts the features of Chinese characters (pronunciation features, glyph features) as features for deep learning
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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
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AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
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TransmogrifaiTransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
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RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
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AlbedoA recommender system for discovering GitHub repos, built with Apache Spark
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EvalmlEvalML is an AutoML library written in python.
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FeastFeature Store for Machine Learning
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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BlurrData transformations for the ML era
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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Home Credit Default RiskDefault risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
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TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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AlinkAlink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
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