Neural networks and Deep learning

Mathematical guide to understanding neural networks and creating neural network architectures without assisted frameworks

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Deep dive into state of the art methodologies to improve performance of Deep neural networks

Sequence Models

Creation of various time dependent models like RNN, LSTM and attention models which are used to create GPT applications

Intermediate SQL certification

Intermediate SQL certification by HackerRank

Hands on Data science by Gitaa

Implementation of various statistical machine learning models in python (was also an instructor in the later batches)

Convolutional Neural Networks

Deep dive into how various models are used to create computer vision applications

Basic SQL certification

Basic SQL certification by HackerRank