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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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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DtaleVisualizer for pandas data structures
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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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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Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
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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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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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Pydataroadopen source for wechat-official-account (ID: PyDataLab)
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Data ScienceCollection of useful data science topics along with code and articles
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Pythondatarepo for code published on pythondata.com
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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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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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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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CoursesQuiz & Assignment of Coursera
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SweetvizVisualize and compare datasets, target values and associations, with one line of code.
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Qs ledgerQuantified Self Personal Data Aggregator and Data Analysis
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SocratA Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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PbpythonCode, Notebooks and Examples from Practical Business Python
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SkdataPython tools for data analysis
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Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
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Model Describermodel-describer : Making machine learning interpretable to humans
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Python TrainingPython training for business analysts and traders
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Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
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Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
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ResourcesPyMC3 educational resources
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Mlj.jlA Julia machine learning framework
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Moderndive bookStatistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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MetrotwitterWhat Twitter reveals about the differences between cities and the monoculture of the Bay Area
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OpenrefineOpenRefine is a free, open source power tool for working with messy data and improving it
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Daru Viewdaru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
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Data Science WgSF Brigade's Data Science Working Group.
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Datacamp🍧 A repository that contains courses I have taken on DataCamp
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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GraphiaA visualisation tool for the creation and analysis of graphs
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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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Openml RR package to interface with OpenML
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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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