Repository for implementation of statistics concepts for Data Science in Python

3 mins read The field of statistics is becoming increasingly important in the world of data science and machine learning. I have recently […]

Performing A/B test in Python example – A case study from Udacity Data Scientist Nano Degree

11 mins read This is a straightforward guide to an A/B test case study created and utilized by Udacity, as part of my […]

A simple tutorial on Sampling Importance and Monte Carlo with Python codes

16 mins read Introduction In this post, I’m going to explain the importance sampling. Importance sampling is an approximation method instead of a […]

Important probability distributions for Data Science with Python code

33 mins read For a data scientist aspirant, Statistics is a must-learn thing. It can process complex and challenging problems in the real […]

A guide to Bootstrapping for Statistical Inference – Confidence Interval and Hypothesis Testing

14 mins read Introduction Inferential Statistics is the process of examining the observed data (sample) in order to make conclusions about the properties/parameters […]