Coursera Deep Learning Specialization Notes

3 mins read A couple of years ago I completed Deep Learning Specialization taught by AI pioneer Andrew Ng. I found this series […]

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 guide on regression error metrics (MSE, RMSE, MAE, MAPE, sMAPE, MPE) with Python code

20 mins read One of the most frequently utilized tools in a data scientist’s toolbox is regression. To evaluate the quality of a […]

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 […]