A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

Google Advanced Data Analytics Projects: Automatidata, Waze, Tiktok and Salifort Motors

A unified framework for identification of cell-type-specific spatially variable genes in spatial transcriptomic studies

A/B testing (or split-testing) is a randomized experiment with two variants A and B. It includes application of statistical hypothesis testing (or two-sample hypothesis testing), as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against va…

Master internship CRMBM 2020, MRI data of Charcot Marie Tooth disease type 1B

📈 📌 This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.

Quick-reference guide to the 17 statistical hypothesis tests that you need in applied machine learning, with sample code in Python.

R programming and its application to data analysis and statistical methods

Repository for STATS projects

Data Science - Hypothesis Testing Work