Different statistical concepts implementation; inferential and descriptive using Jupyter Notebook and python data science libraries.
Statistics 1- includes concepts of central tendency; mean, median, mode, variance, standard deviation etc with implementation works.
Statistics 2- includes concepts of proability and probability distribution with implementation works.
Statistics 3- includes concept of inferential statistics; hypothesis testing, correlation and anova with implementation works.
Regression Analysis- includes concepts of linear, multiple linear and logistic regression analysis with implementation works.
NOTE: All programs are done using Anaconda2, so the versions of libraries are not the latest so there might be some issues and or warnings related to it.