Santhoshkumar S., M.S(SE).,Ph.D

Santhoshkumar S., M.S(SE).,Ph.D

A researcher, developer, and writer

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Performance Metrics in Machine Learning – Part 2

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.

Performance Metrics in Machine Learning – Part 1

less than 1 minute read

Published:

To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post

Data Collection into Google Drive

less than 1 minute read

Published:

Data collection is one of the tougher task in data analysis and data science. Collecting data from various sources and storing in a particular database is important to start the analysis. Read here: Blog Post

Supervised learning: Linear Regression

less than 1 minute read

Published:

Linear Regression is a supervised learning model that predicts a continues value through linear function. Here, hypothesis is generated as a prediction function. Hypothesis is a function of input value that provides the predicted output value for given input. Read here: Blog Post

portfolio

Data Wrangling

Published:

This is a data collection project from a content management website. It collects images from the site and stores it in Google Drive.

Exploratory Data Analysis

Published:

As part of this work, I’ve analyzed various datasets and explored different types of use cases.

Classification Analysis

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As part of this work, I’ve worked on classification tasks different types of use cases.

Regression Analysis

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As part of this work, I’ve worked on regression tasks for different types of use cases.

Feature Engineering

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As part of this work, I’ve listed various projects where I worked on feature engineering techniques like feature creation, feature selection, etc.,.

Parkinson Disease Analytics

Published:

A classification task to identify what kind of symptoms are highly available for the persons affected by Parkinson disease

publications

A Parallel Neural Network approach for Faster Rumor Identification in Online Social Networks

Published in International Journal on Semantic Web and Information Systems, 2019

This work tries to identify rumors at the earliest using CNN

Recommended citation: Santhoshkumar, Srinivasan., and LD Dhinesh Babu. "A Parallel Neural Network approach for Faster Rumor Identification in Online Social Networks" International Journal on Semantic Web and Information Systems (IJSWIS) 15, no. 4 (2019): 69-89. https://doi.org/10.4018/IJSWIS.2019100105

A Bio-inspired Defensive Rumor Confinement Strategy in Online Social Networks

Published in Journal of Organizational and End User Computing, 2020

This work is Controlling the rumor in online social networks from the inspiration of insects

Recommended citation: Santhoshkumar, Srinivasan., and LD Dhinesh Babu (2020), ”A Bio-inspired Defensive Rumor Confinement Strategy in Online Social Networks” Journal of Organizational and End User Computing 17(1), 64-82 https://doi.org/10.4018/IJWSR.2020010104

talks

Guest Lecture on Java – Real time tools and applications

Published:

This guest lecture was given to around 150+ B.Tech students of VIT, Vellore on various real time tools and applications used in Industry. As part of this lecture, I’ve presented demo on important Java tools that are used for development.

Guest Lecture on Software construction and Maintenance tools in Industry

Published:

This guest lecture was given to two batches of M.Tech students of VIT, Vellore on software construction and maintenance techniques/policies in constructing a new software product. As part of this lecture, I’ve presented demo on software construction activities during development. I’ve shown how to create different artifacts during the development of a software.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.