Software Engineers are often faced with design choices for selecting the optimum method for implementing some feature. A lot of this often boils down to selecting, or developing the algorithm for that purpose. Given multiple choices on algorithms, how do we decide what is the best way forward? [Read More]

Let’s face it, performing regression with one variable is just not that useful. Real world data involves tens, hundreds, or sometimes even thousands of features. We can scale up what we have learned in univariate linear regression to meet such needs. [Read More]

A week ago, I had applied for a Junior Data Scientist position with a large conglomerate based in the UAE. They informed me that I was shortlisted for the first round, and sent me a link for an online assessment. The assessment was conducted by a third party called HireVue,... [Read More]

Linear regression is used to predict a continuous value. In this post we shall take a look at how Univariate Linear Regression - Linear Regression with one variable - works. [Read More]

This post is a collection of my notes from the Learning How to Learn course on Coursera. [Read More]