Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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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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DtaleVisualizer for pandas data structures
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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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DatascienceCurated list of Python resources for data science.
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MatplotplusplusMatplot++: A C++ Graphics Library for Data Visualization 📊🗾
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Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
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CoursesQuiz & Assignment of Coursera
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GradioCreate UIs for your machine learning model in Python in 3 minutes
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Data ScienceCollection of useful data science topics along with code and articles
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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OpenrefineOpenRefine is a free, open source power tool for working with messy data and improving it
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TablesawJava dataframe and visualization library
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
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SocratA Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization
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KlibEasy to use Python library of customized functions for cleaning and analyzing data.
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Pydataroadopen source for wechat-official-account (ID: PyDataLab)
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SweetvizVisualize and compare datasets, target values and associations, with one line of code.
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Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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CjworkbenchThe data journalism platform with built in training
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Model Describermodel-describer : Making machine learning interpretable to humans
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ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
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Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
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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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GraphiaA visualisation tool for the creation and analysis of graphs
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DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
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SupersetApache Superset is a Data Visualization and Data Exploration Platform
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Pythondatarepo for code published on pythondata.com
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Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
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Chain.jlA Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
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Dep vizA visual tool to help developers understand Elixir recompilation in their projects
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PbpythonCode, Notebooks and Examples from Practical Business Python
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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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HelicalinsightHelical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.
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Just Dashboard📊 📋 Dashboards using YAML or JSON files
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Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
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Machine Learning ResourcesA curated list of awesome machine learning frameworks, libraries, courses, books and many more.
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Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
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Aachartkit Swift📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…
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PunkA data REBL built for the web
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DatascienceprojectsThe code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
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Sourced Cesource{d} Community Edition (CE)
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Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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