I'm a beginner in machine learning, I do not have a clear idea about determining the dataset behavior and selecting the best ML model for the dataset.
I need to know about,
1) which kind of tools and technique can be used for determining the dataset behaviors before the selecting ML algorithm.
2) which kind of tricks can we used to select the best ML algorithm for specific cases and how to practice it