Statistics

This is a compilation of different statistics techniques for learning purposes, with their explanation and their implementations in R and/or Python.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
0. Cookie cutter		0. Cookie cutter
1. Linear regression		1. Linear regression
10. Multiple Correspondence Analysis		10. Multiple Correspondence Analysis
11. Exploratory Data Analysis		11. Exploratory Data Analysis
12. Survival Analysis		12. Survival Analysis
2. Logistic regression		2. Logistic regression
3. Support Vector Machine		3. Support Vector Machine
4. Hypothesis testing		4. Hypothesis testing
5. K-nearest Neighbors		5. K-nearest Neighbors
6. Bayesian statistics		6. Bayesian statistics
7. Survey sampling		7. Survey sampling
8. Clustering		8. Clustering
9. Principal Component Analysis		9. Principal Component Analysis
.gitignore		.gitignore
README.md		README.md

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