Hi all, When you get the data in CSV format or any other format then you should try this 10 basic command to understand more the data. How much you understand the dataset will help you to make better model for it. Before jumping into the code I want to mention some basic packages/software you want to have: Python Jupyter Notebook (Highly recommend this one) or Spyder pandas (default it will be installed in python) That's it. These are the basic things you should need to start. First get some the data from kaggle or anywhere.Let the data format will be CSV format for better understanding. Import the necessary packages and data like this import pandas as pd df= pd.read_csv("path to csv file) Now Lets the establish top common commands: 1. df.head(): This command will show top rows in the dataset 2. df.info(): This command will tell the type of each column such as float, int, object type. 3. df. describe(): This will describe ...