GitHub / 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.
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Stars: 76
Forks: 43
Open issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Size: 1.07 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 1 year ago
Pushed at: about 5 years ago
Last synced at: over 1 year ago
Topics: ab-testing, binomial-distribution, comparative-statistics, data-science, descriptive-statistics, inferential-statistics, jupyter-notebooks, normal-distribution, probability, python3, statistical-analysis, statistics