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Word Embeddings in Natural Language Processing(NLP)
The article contains insights into the techniques for creating the numerical representation of the data so that it can be acted on by...

Nagesh Singh Chauhan
Dec 13, 202111 min read


Introduction to Markov models and Markov Chains
The article contains a brief introduction to Markov models specifically Markov chains with some real-life examples. Markov Chains The...

Nagesh Singh Chauhan
Sep 23, 202112 min read


Introduction to Monte Carlo Simulation in Statistics
A super simple concept, still allows us to solve really complex problems. Image credits If we summarize what Monte Carlo simulation is in...

Nagesh Singh Chauhan
Sep 19, 202111 min read


Random Forest — A powerful Ensemble Learning algorithm
The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier. Credits:...

Nagesh Singh Chauhan
Oct 20, 202010 min read


Model Evaluation Metrics in Machine Learning
A detailed explanation of model evaluation metrics to evaluate a classification machine learning model.

Nagesh Singh Chauhan
Oct 20, 202011 min read


Data Pre-processing to Optimizing a Regression model performance
All you need to know about data pre-processing, and how to build and optimize a regression model using Backward Elimination method in...

Nagesh Singh Chauhan
Sep 20, 202011 min read


Introduction to Neural Machine Translation(NMT)
Learn how to build a Language Translator using Encoder-Decoder architecture. Image Credits Introduction We all are familiar with Google...

Nagesh Singh Chauhan
Sep 18, 202014 min read
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