1. Fitment round : Tell me about one of your best projects? What are the machine learning/Deep learning algorithms you have used in this project? What are the Hyperparameters used in this model? 2. Data Science Round What is the difference between Gradient Descent, Stochastic Gradient Descent & mini-batch Gradient Descent? What is Adam's optimizer? How max pooling is different from average pooling? How LSTM is better than RNN? What is the loss function used in logistic regression? 3. Coding Round Code for P-Value given the coin toss scenrios.