Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Drop columns | Create the strongest Pokemon
Create the strongest Pokemon
course content

Course Content

Create the strongest Pokemon

Create the strongest Pokemon

Drop columnsAdding numerical characteristicsSearching for the strongest attributesOne-hot encoding

Drop columns

Task

  1. Initialize the data frame named df_add that will contain 'HP' and 'Attack' columns. We will use this data frame later.
  2. Initialize array of values named y of the 'Total' column of df data frame.
  3. Drop '#', 'Name', 'Defense', 'HP', 'Attack', 'Sp. Atk', 'Sp. Def', 'Speed', 'Total' columns

Task

  1. Initialize the data frame named df_add that will contain 'HP' and 'Attack' columns. We will use this data frame later.
  2. Initialize array of values named y of the 'Total' column of df data frame.
  3. Drop '#', 'Name', 'Defense', 'HP', 'Attack', 'Sp. Atk', 'Sp. Def', 'Speed', 'Total' columns

Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Task

  1. Initialize the data frame named df_add that will contain 'HP' and 'Attack' columns. We will use this data frame later.
  2. Initialize array of values named y of the 'Total' column of df data frame.
  3. Drop '#', 'Name', 'Defense', 'HP', 'Attack', 'Sp. Atk', 'Sp. Def', 'Speed', 'Total' columns

Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 1
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt