Questions on Time series analysis (Project based - in depth) How do you evaluate time series predictions? Explain your machine learning projects. Bias Variance Trade off. Over fitting vs Under fitting Loss function vs Cost function vs Evaluation metrics How do you prevent under fitting. How is random forest used for feature selection. Explain ensemble techniques. Why did you use the algorithms while building the model in Round 1 What is your understanding of the dataset given in Round 1 Do you know basics of deep learning How would you use ML at our company?

Explaining portfolio projects, beginner to intermediate level SQL and python programming questions.