# Data science life cycle: Every Data science Beginner, working professional, student or practitioner follows a few steps while doing. I will tell you about all these steps in simple terms for your understanding. # 1.Hypothesis definition: - A proposed explanation as a starting point for further investigation. Ex:- A(company) wants to release a Raincoat(product) in Summer. now the company is in a dilemma whether to release the product or not. (i know its a bad idea, but for understanding, let's think this.) # 2. Data Acquisition: - collecting the required data. Ex:- collecting the last 10 years of data in a certain region. # 3.Exploratory Data Analysis(EDA):-     Analysing collected data using some concepts(will see them below). Ex: on collected data(existing data)data scientists will perform some analysis and decide, what are features/metrics to consider for model building. # 4.Model building:- This is where Machine learning comes into light. #Ex:- by using metrics(out...