#!/usr/bin/env python # coding: utf-8 # # Artificial Intelligence # ## L2 International, Univ. Bordeaux # ### Data Preprocessing # 1. Load and get an overview of the data. # 2. Uncomment and execute the following instruction. What can you say about the data ? Are there any missing data ? #titanic.info() # 3. Write python instructions to drop all the rows with at least one missing data. What do you # observe ? # 4. Write python instructions to drop the rows only if all of the values in the row are missing. # 5. What do you observe about the column Cabin? Write instructions to drop it. # 6. Discuss the other columns with missing values. Choose the right strategy to replace the missing values.