How oversampling yielded great results for classifying cases of Sexual Harassment. The problem: Overcoming an imbalanced data set When it comes to data science, sexual ha...
In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article, we will show in detail...
(This article is now a chapter of my github proto-book Bayesuvius) Simpson’s paradox is a recurring nightmare for all statisticians overseeing a clinical trial for ...
Correlation is a measure of linear association between two variables X and Y, while linear regression is a technique to make predictions, using the following model: Y�...
The following graphic is based on Sam Priddy’s excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting ...
I just uploaded a new chapter to my github proto-book “Bayesuvius”. This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networ...
Data scientist ranks third on the list of LinkedIn emerging jobs of 2020. Similarly, it ranks first on Glassdoor’s hottest jobs of 2020. The data scientist role has b...
With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a l...
You’re a data scientist, but you didn’t end up in the data science industry. Are you worried about not making it? Fret not, we’ve got multiple career options molded...
This is the 2nd part of the article on a few applications of Fourier Series in solving differential equations. All the problems are taken from the edx Course: MITx ̵...