[lab-revisiting-machine-learning] Susumu

[susumusakamoto]

No description provided.

[ArabellaCM]

Hi Susumu, I'm taking a look at your Machine Learning Revisited lab where you find which columns have too many null values, drop some columns and clean up the gender column.

Overall everything works well but I think you could make a cleaner function to clean the gender column at the end. For example you can already see that there are no null values to fill and you can make an if statement that means you don't have to specify what the "other" values are.
Here's an example of a nice small function:

def clean(x):
    
    if x.upper().startswith('M') or x.upper().startswith('F'):
        return x.upper()[0]
    else:
        return 'Other'