Posts by Collection

portfolio

publications

Relational Boosted Bandits

Published in To be appear at AAAI,2021, 2020

Contextual Bandits, Relational Learning, Reinforcement Learning, Gradient Boosting

Download here

talks

Introduction to Machine Learning

Published:

  • 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:

  • 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:

  • 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

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.