GitHub - allawadhiastha/Statistical-Analysis: Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.

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Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
CardioGoodFitness.csv		CardioGoodFitness.csv
Day1. Descriptive Statistics - CardioGoodFitness.ipynb		Day1. Descriptive Statistics - CardioGoodFitness.ipynb
Day1. Probability.ipynb		Day1. Probability.ipynb
Day2&3. Sampling Distribution & Hypothesis Testing.ipynb		Day2&3. Sampling Distribution & Hypothesis Testing.ipynb
Day4. ANOVA and Chi Square Test.ipynb		Day4. ANOVA and Chi Square Test.ipynb

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Statistics is the heart of Analytics, and doing that using python requires a number of libraries and functions which makes it easy to apply the statistical concepts on machine learning models.

data-science python3 statistical-analysis hypothesis-testing probabilistic-graphical-models descriptive-statistics anova chi normal-distribution

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