Machine Learning in Python

                         BASIC PANDAS FOR DATA ANALYSIS AND MACHINE LEARNING READING AND WRITING THE DATA df=pd.read_csv("/kaggle/input/heart.csv") df.to_csv("heart.csv") df.to_excel("heart.xls") xlsx = pd.ExcelFile("/kaggle/working/heart.xls")   Any data frame can be saved as a file. And any file can be read back to the data frame and vice versa. SELECTING DATA FROM DATA FRAME df.loc[1:10,["sex","chol","target"]] df[(df.target==1) | (df.sex==1)] df[(df.target==1) & (df.sex==1)] COUNTING 

  No one wants to waste time in installation and package integration. So I am suggesting some online platforms where you can just log in and start programming. Google Colab https://www.kaggle.com Some Amazon products you can try Slippers Paragon chappals https://amzn.to/2MnhFE3