October 2017
Machine Learning (Stanford University)
Coursera
Completed a 3 month course organized by Coursera and Stanford ( Grade : 96.1%)
January 2018
Neural Networks and Deep Learning
Coursera
First course in a 5 course specialization on deep learning by deeplearning.ai
February 2018
Improving Deep Neural Networks
Coursera
Second course in a 5 course specialization on deep learning by deeplearning.ai
March 2018
Structuring Machine Learning Projects
Coursera
Third course in a 5 course specialization on deep learning by deeplearning.ai
April 2018
Algorithmic Toolbox (University of California, San Diego)
Coursera
First course in a 5 course specialization on Algorithms by University of California, San Diego
April 2018
Convolutional Neural Networks
Coursera
Fourth course in a 5 course specialization on deep learning by deeplearning.ai
June 2018
Sequence Models
Coursera
Fifth course in a 5 course specialization on deep learning by deeplearning.ai
June 2018
Deep Learning Specialization
Coursera
Completed 5 course specialization by deeplearning.ai
July 2018
Version Control with Git
Coursera
Core concepts of versioning using git.
January 2019
Mathematics for Machine Learning: Linear Algebra (Imperial College London)
Coursera
First course in a 3 course specialization on mathematics for machine learning by Imperial College London
February 2019
Mathematics for Machine Learning: Multivariate Calculus (Imperial College London)
Coursera
Second course in a 3 course specialization on mathematics for machine learning by Imperial College London
March 2019
Introduction to Big Data(University of California, San Diego)
Coursera
First course in a 6 course specialization on big data by University of California, San Diego
March 2019
AI For Everyone
Coursera
Understanding the use of AI and it's applications for business.
April 2019
Introduction to TensorFlow
Coursera
First course in the tensorflow specialization by deeplearning.ai