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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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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Pydataroadopen source for wechat-official-account (ID: PyDataLab)
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ResourcesPyMC3 educational resources
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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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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SkdataPython tools for data analysis
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Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
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TadA desktop application for viewing and analyzing tabular data
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Pythondatarepo for code published on pythondata.com
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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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Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
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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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Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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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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Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
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Janitorsimple tools for data cleaning in R
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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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CoursesQuiz & Assignment of Coursera
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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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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Datacamp🍧 A repository that contains courses I have taken on DataCamp
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Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
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Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
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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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XlearnHigh performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
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GophernotesThe Go kernel for Jupyter notebooks and nteract.
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Data Science LearningRepository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
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SealionThe first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
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CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
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FacetHuman-explainable AI.
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UrsUniversal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.
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Edward2A simple probabilistic programming language.
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PycaretAn open-source, low-code machine learning library in Python
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TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
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