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Different statistical concepts implementation; inferential and descriptive using Jupyter Notebook and python data science libraries.

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python-stats

Different statistical concepts implementation; inferential and descriptive using Jupyter Notebook and python data science libraries.

Statistics 1- includes concepts of central tendency; mean, median, mode, variance, standard deviation etc with implementation works.

Statistics 2- includes concepts of proability and probability distribution with implementation works.

Statistics 3- includes concept of inferential statistics; hypothesis testing, correlation and anova with implementation works.

Regression Analysis- includes concepts of linear, multiple linear and logistic regression analysis with implementation works.

NOTE: All programs are done using Anaconda2, so the versions of libraries are not the latest so there might be some issues and or warnings related to it.

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Different statistical concepts implementation; inferential and descriptive using Jupyter Notebook and python data science libraries.

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