Abhinav Sagar

Abhinav Sagar is a Machine Learning Researcher at VIT Vellore. His research areas are bayesian deep learning, generative models, variational inference etc on the theoretical side and medical imaging, autonomous driving etc on the application side. More broadly, he is interested in deep learning and computer vision with a bayesian approach taking uncertainty into account.

Deep Learning for Detecting Pneumonia from X-ray Images

By Abhinav Sagar, VIT Vellore on June 5, 2020 in Deep Learning, Healthcare, Image Recognition, Python
This article covers an end to end pipeline for pneumonia detection from X-ray images.
10 Python Tips and Tricks You Should Learn Today

By Abhinav Sagar, VIT Vellore on January 8, 2020 in Programming, Python, Tips
Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.
Random Forest® vs Neural Networks for Predicting Customer Churn

By Abhinav Sagar, VIT Vellore on December 26, 2019 in Churn, Customer Analytics, Neural Networks, random forests algorithm
Let us see how random forest competes with neural networks for solving a real world business problem.
Pedestrian Detection Using Non Maximum Suppression Algorithm

By Abhinav Sagar, VIT Vellore on December 17, 2019 in Computer Vision, Image Recognition, Object Detection, Python
Read this overview of a complete pipeline for detecting pedestrians on the road.
5 Techniques to Prevent Overfitting in Neural Networks

By Abhinav Sagar, VIT Vellore on December 6, 2019 in Neural Networks, Overfitting
In this article, I will present five techniques to prevent overfitting while training neural networks.
Deep Learning for Image Classification with Less Data

By Abhinav Sagar, VIT Vellore on November 20, 2019 in Deep Learning, Image Classification, Neural Networks, Small Data
In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.
Customer Segmentation Using K Means Clustering

By Abhinav Sagar, VIT Vellore on November 4, 2019 in Clustering, Customer Analytics, K-means, Python, Segmentation
Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.
How to Build Your Own Logistic Regression Model in Python

By Abhinav Sagar, VIT Vellore on October 31, 2019 in Logistic Regression, Machine Learning, Python
A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.
Convolutional Neural Network for Breast Cancer Classification

By Abhinav Sagar, VIT Vellore on October 24, 2019 in Cancer Detection, Deep Learning, Healthcare, Python
See how Deep Learning can help in solving one of the most commonly diagnosed cancer in women.
How to Easily Deploy Machine Learning Models Using Flask

By Abhinav Sagar, VIT Vellore on October 17, 2019 in Deployment, Flask, Machine Learning, Python
This post aims to make you get started with putting your trained machine learning models into production using Flask API.

Abhinav Sagar

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