Posts by Collection

Portfolio item number 1

Published: June 21, 2023

Short description of portfolio item number 1

Portfolio item number 2

Published: June 21, 2023

Short description of portfolio item number 2

Correlated discrete data generation using adversarial training

Published in 2nd Workshop on Data Science for Human Capital Management collocated with ECML-PKDD, 2018

Deep Learning, Generative Adversarial Network, Autoencoder, Correlational Neural Networks.

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A Service-Oriented Human Capital Management Recommendation Platform

Published in IEEE International System Conference (SysCon), 2019

Machine Learning, Recommendation, Human Capital Management.

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Relational Boosted Bandits

Published in AAAI, 2021

Contextual Bandits, Relational Learning, Reinforcement Learning, Gradient Boosting

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Introduction to Machine Learning

Published: July 26, 2017

• Lab sessions on various machine learning and data science algorithms and prepared tutorials in python for giving hands-on experience to attendees.
• I conducted theory sessions on basic ML algorithms like Stochastic gradient descent, Multivariate linear regression, Logstic regression and Kth nearest neighbour.
• More about summer school, you can find [Here]

Hands-on Machine Learning

Published: February 06, 2020

• Lab sessions on various machine learning and data science algorithms and prepared tutorials in python for giving hands-on experience to attendees.
• I conducted theory sessions on ML paradigms and applied Logistic Regression and Decision Tree on real world datasets.
• Importance of data pre-processing and data wrangling to evaluation metric.
• You can find ipython notebook [Here]

Hands-on Machine Learning

Published: February 06, 2021

• Lab sessions on various machine learning and data science algorithms and prepared tutorials in python for giving hands-on experience to attendees.
• I conducted theory sessions on ML paradigms and introduction to clustering.
• In-depth detail of K Means clustering algorithm with smart Initialization
• Implementing K means from scratch and visualization of step by step process in ipython notebook.
• You can find ipython notebook [Here]

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.