Data cleaning with Numpy and Pandas

Proper data cleaning is the “secret” sauce behind machine learning. Better data beats fancier algorithms…

Garbage in = Garbage out. Plain and Simple! Better data beats fancier algorithms…

Thanks to realpython.org that i could get my hands dirty cleaning the data. Below are a highlights of the exercise.

Here is the detailed code on Git:

Dropping unnecessary columns in a DataFrame

Changing the Index of a DataFrame

Tidying up Fields in the Data

Combining str Methods with NumPy to Clean Columns

Cleaning the Entire Dataset Using the applymap Function

Renaming columns and skipping rows