Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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HandysparkHandySpark - bringing pandas-like capabilities to Spark dataframes
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DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
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ImpyImpy is a Python3 library with features that help you in your computer vision tasks.
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ScattertextBeautiful visualizations of how language differs among document types.
Stars: ✭ 1,722 (+8963.16%)
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100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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kanaSingle cell analysis in the browser
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Lotteryprediction🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.
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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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SweetvizVisualize and compare datasets, target values and associations, with one line of code.
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MiradorTool for visual exploration of complex data.
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Hn so analysisIs there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality
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KdepyKernel Density Estimation in Python
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Edarfexploratory data analysis using random forests
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Ditching Excel For PythonFunctionalities in Excel translated to Python
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loonA Toolkit for Interactive Statistical Data Visualization
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Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
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Inspectdf🛠️ 📊 Tools for Exploring and Comparing Data Frames
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