Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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DatascienceCurated list of Python resources for data science.
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Sourced Cesource{d} Community Edition (CE)
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Etl unicorn数据可视化, 数据挖掘, 数据处理 ETL
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DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
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Rightmove webscraper.pyPython class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
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python-notebooksA collection of Jupyter Notebooks used in conferences or just to have some snippets.
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heidiheidi : tidy data in Haskell
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Machine learning for goodMachine learning fundamentals lesson in interactive notebooks
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genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
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Awesome Ts Anomaly DetectionList of tools & datasets for anomaly detection on time-series data.
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Pipelinethe `pipeline` shell command
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TipdmTipDM建模平台，开源的数据挖掘工具。
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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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Tsrepr TSrepr: R package for time series representations
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DexDex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
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PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
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taller SparkRTaller SparkR para las Jornadas de Usuarios de R
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