sharmaroshan / Statistics-for-Data-Science

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

Date Created 2020-04-20 (4 years ago)

Commits 9 (last one 4 years ago)

Stargazers 129 (0 this week)

Watchers 4 (0 this week)

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License gpl-3.0

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RepositoryStats indexes 595,856 repositories, of these sharmaroshan/Statistics-for-Data-Science is ranked #247,326 (58th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,931/17,543.

sharmaroshan/Statistics-for-Data-Science is also tagged with popular topics, for these it's ranked: python3 (#1,779/4145), data-science (#1,187/2138), statistics (#374/753)

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sharmaroshan/Statistics-for-Data-Science has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

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python3 ab-testing statistics probability data-science jupyter-notebooks normal-distribution statistical-analysis binomial-distribution comparative-statistics descriptive-statistics inferential-statistics

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updated: 2024-12-15 @ 11:00am, id: 257291126 / R_kgDOD1Xzdg