GitHub - ritika-thakur/Statistics-Probability-Programming: This repository is the practical implementation and study of the statistics and probability via programming, which is essential for Machine learning.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Goodness-of-fit-test		Goodness-of-fit-test
Hypothesis_Testing		Hypothesis_Testing
One-Way-Annova		One-Way-Annova
Pearson-Correlation-Test		Pearson-Correlation-Test
Two-way-annova		Two-way-annova
Conditional-and-joint-probability-1.ipynb		Conditional-and-joint-probability-1.ipynb
Confidence-Intervals.ipynb		Confidence-Intervals.ipynb
Demonstration-of-CLT-for-normal-distribution.ipynb		Demonstration-of-CLT-for-normal-distribution.ipynb
Demonstration-of-CLT.ipynb		Demonstration-of-CLT.ipynb
Demonstration-of-covariance.ipynb		Demonstration-of-covariance.ipynb
Diff-btw-samples-withdrawn-from-2-populations.ipynb		Diff-btw-samples-withdrawn-from-2-populations.ipynb
Large-Sample-Domain-Demo-for-diff-distributions.ipynb		Large-Sample-Domain-Demo-for-diff-distributions.ipynb
Normal-and-Poisson-Probability-Distribution.ipynb		Normal-and-Poisson-Probability-Distribution.ipynb
Practical-Definition-Of-Probability.ipynb		Practical-Definition-Of-Probability.ipynb
Sampling-distribution-and-CLT.ipynb		Sampling-distribution-and-CLT.ipynb
data.csv		data.csv