Varun NakrainTowards AIHow To Use Target Encoding in Machine Learning Credit Risk Models — Part 2In my previous story Part 1 of this topic —…Jun 5Jun 5
Varun NakrainTowards AIHow To Use Target Encoding in Machine Learning Credit Risk Models — Part 1Target encoding, also known as mean encoding or likelihood encoding, is a technique used to convert categorical variables into numerical…Jun 3Jun 3
Varun NakrainTowards AIPerfect answer to Deep Learning interview question — Why not quadratic cost function?One of the most common question asked during deep learning knowledge interviews is — “Why can’t we use a quadratic cost function to train…Jun 1Jun 1
Varun NakrainTowards AIData Science Interview Question: Creating ROC & Precision-Recall Curves From ScratchThis is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch, i.e., no…May 30May 30
Varun NakrainTowards AIMinimizing the Mean Square Error: Bayesian approach: Part 1 (a)This will be a three part series — Part 1 will illustrate the need of Bayesian MSE with an example; Part 2 will establish the foundation of…May 19May 19
Varun NakrainTowards AIMinimizing the Mean Square Error: Frequentist ApproachStatistical Inference and Mean Square ErrorApr 30Apr 30
