Tip 1 : Not just watch videos or read blogs, study the mathematics behind it
Tip 2 : Always write pros and cons of each model with the assumptions taken into consideration
Tip 3 : Doing projects will help you clear all your doubts
Tip 1 : Write what you know, don't try to fill it by writing projects that are difficult to explain
Tip 2 : No need to know all the frameworks, TensorFlow is one of the easiest and will take less time to understand. So don't unnecessary write PyTorch etc if you don't know about it
Estimation of Burned Area in Amazon Forest
Basics of SQL
Basics of Algorithms used in ML/DS
Comparison between models
Bagging/Boosting
Tuple/Lists
Numpy/Pandas
Different operations in Numpy
Basics of SQL Basics of Algorithms used in ML/DS
Comparison between models Bagging/Boosting
Tuple/Lists Numpy/Pandas
Different operations in Numpy

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is recursion?