Data Science Notebooks

This is a collection of notebooks I've written to understand about data science and related topics. They're mostly written to be understood by my future self, but please contact me if you have any questions.

Name		Name	Last commit message	Last commit date
ratings		ratings
unfinished		unfinished
.gitignore		.gitignore
Bagging with smaller subsamples.ipynb		Bagging with smaller subsamples.ipynb
Beta binomial.ipynb		Beta binomial.ipynb
Bias Variance Decomposition.ipynb		Bias Variance Decomposition.ipynb
Difference of proportion hypothesis test.ipynb		Difference of proportion hypothesis test.ipynb
Extreme Values.ipynb		Extreme Values.ipynb
Inferential regression.ipynb		Inferential regression.ipynb
KNN bagging.ipynb		KNN bagging.ipynb
Kernel density estimation.ipynb		Kernel density estimation.ipynb
Normal and the Logistic Function.ipynb		Normal and the Logistic Function.ipynb
Probability plots.ipynb		Probability plots.ipynb
README.md		README.md
Sample vs Population Variance.ipynb		Sample vs Population Variance.ipynb
Uniform and Pareto distirbutions.ipynb		Uniform and Pareto distirbutions.ipynb
t distributions.ipynb		t distributions.ipynb

Navigation Menu

Repository navigation

About

Repository files navigation

Data Science Notebooks

About

Releases

Packages

Contributors

Languages

Latest commit

History

Folders and files

Repository files navigation

Data Science Notebooks

About

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages