Posts by Collection

portfolio

publications

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.