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

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

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

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

Repository for STATS projects

📈 📌 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.

R programming and its application to data analysis and statistical methods

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

Data Science - Hypothesis Testing Work