Nagesh Singh Chauhan

KDnuggets

Nagesh Singh Chauhan holds a Bachelor's degree in Computer Science and currently works as Senior Manager-Data Science at OYO (the world's leading chain of hotels and homes). Nagesh has specializations in various domains related to data science, including machine learning, deep learning, NLP, time-series analysis, probability and statistics, computer vision, big data, and embedded systems. Nagesh also loves to write technical articles on various aspects of AI and data science. You can check out some of his articles on theaidream and Github. You can also reach out on LinkedIn.

Explore the world of Bioinformatics with Machine Learning

By Nagesh Singh Chauhan, KDnuggets on September 17, 2019 in Bioinformatics, Machine Learning, Python
The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.
A Friendly Introduction to Support Vector Machines

By Nagesh Singh Chauhan, KDnuggets on September 12, 2019 in Algorithms, Explained, Machine Learning, Support Vector Machines, SVM
This article explains the Support Vector Machines (SVM) algorithm in an easy way.
Build Your First Voice Assistant

By Nagesh Singh Chauhan, KDnuggets on September 6, 2019 in Machine Learning, NLP, Python, Speech Recognition
Hone your practical speech recognition application skills with this overview of building a voice assistant using Python.
Introduction to Image Segmentation with K-Means clustering

By Nagesh Singh Chauhan, KDnuggets on August 9, 2019 in Clustering, Computer Vision, Image Recognition, K-means, Python, Segmentation
Image segmentation is the classification of an image into different groups. Many kinds of research have been done in the area of image segmentation using clustering. In this article, we will explore using the K-Means clustering algorithm to read an image and cluster different regions of the image.
From Data Pre-processing to Optimizing a Regression Model Performance

By Nagesh Singh Chauhan, KDnuggets on July 19, 2019 in Model Performance, Modeling, Optimization, Regression
All you need to know about data pre-processing, and how to build and optimize a regression model using Backward Elimination method in Python.
Classifying Heart Disease Using K-Nearest Neighbors

By Nagesh Singh Chauhan, KDnuggets on July 8, 2019 in Healthcare, K-nearest neighbors, Machine Learning, Medical, Python
I have written this post for the developers and assumes no background in statistics or mathematics. The focus is mainly on how the k-NN algorithm works and how to use it for predictive modeling problems.
Build Your First Chatbot Using Python & NLTK

By Nagesh Singh Chauhan, KDnuggets on May 1, 2019 in Chatbot, NLP, NLTK, Python
Today we will learn to create a simple chat assistant or chatbot using Python’s NLTK library.
Predict Age and Gender Using Convolutional Neural Network and OpenCV

By Nagesh Singh Chauhan, KDnuggets on April 4, 2019 in Computer Vision, Convolutional Neural Networks, OpenCV, Python
Age and gender estimation from a single face image are important tasks in intelligent applications. As such, let's build a simple age and gender detection model in this detailed article.
A Beginner’s Guide to Linear Regression in Python with Scikit-Learn

By Nagesh Singh Chauhan, KDnuggets on March 29, 2019 in Beginners, Linear Regression, Python, scikit-learn
What linear regression is and how it can be implemented for both two variables and multiple variables using Scikit-Learn, which is one of the most popular machine learning libraries for Python.

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Nagesh Singh Chauhan

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