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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


Advanced Statistical Concepts in Data Science
The article contains some of the most commonly used advanced statistical concepts along with their Python implementation. Credits:...

Nagesh Singh Chauhan
Aug 13, 202111 min read


Hyperparameter Optimization for Machine Learning Models
A comprehensive guide to model optimization techniques. Credits: oncebeganover11 Introduction Model optimization is one of the toughest...

Nagesh Singh Chauhan
Oct 20, 20207 min read


How to build a Restaurant Recommendation Engine (Part-1)
In this 2 part article series we will learn how to build your own recommendation engine with the help of Python, from basic models to...

Nagesh Singh Chauhan
Sep 20, 202010 min read


Natural language processing in Apache Spark using NLTK (part 1/2)
In the very basic form, Natural language processing is a field of Artificial Intelligence that explores computational methods for...

Nagesh Singh Chauhan
Sep 19, 20206 min read
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