Machine Learning workflow path from Scratch
Machine learning is a part of the process in which you train a computer to perform a certain task. Most of you are lagging in the part of knowing the flow to learn machine learning. Here we mentioned some steps to learn machine learning in a proper flow. 1. Know the approach towards the Programming Language There may be many languages used for machine learning but approaching best among all matters. Have to be strong in python or R and most importantly should know the platform for learning such stuff. When compared with other languages Python and R be extensively used by ML programmers for development. Better knowledge about at least one language is mandatory 2. Learn About Probability and Statistics Machine Learning is mostly dependent on mathematics without math ML doesn't make any sense. The concepts of probability and statistics are binding strongly with ML. Everyone should understand the math behind every algorithm. For developing a new solution or algorithm must know the con...