Ways to balance the Bias Variance tradeoff

In this lecture, we talk about various ways to deal with the common problems of bias and variance which may creep in your Machine Learning models. There is a tradeoff between the two sources of errors and how we can tackle these two errors effectively.

We provide a plethora of courses ranging from Python to Essential Maths to Machine Learning and Deep Learning with industry relevant Capstone Projects. We also strive to help our students get high paying jobs in the field of Data Science through Resume Preparation, Mock Interviews and our connections with various HR Partners.