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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DtaleVisualizer for pandas data structures
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Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
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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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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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Data ScienceCollection of useful data science topics along with code and articles
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Datasist A Python library for easy data analysis, visualization, exploration and modeling
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
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100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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Pythondatarepo for code published on pythondata.com
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DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
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Mlcourse.aiOpen Machine Learning Course
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PbpythonCode, Notebooks and Examples from Practical Business Python
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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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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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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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SweetvizVisualize and compare datasets, target values and associations, with one line of code.
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Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
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Ai Learn人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
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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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Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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Pydataroadopen source for wechat-official-account (ID: PyDataLab)
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Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
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Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
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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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MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
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DataframeC++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
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Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
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SkdataPython tools for data analysis
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Model Describermodel-describer : Making machine learning interpretable to humans
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ResourcesPyMC3 educational resources
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SocratA Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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Python for mlbrief introduction to Python for machine learning
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PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
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