Neural Network Projects with Python

Putting it all together

We have accomplished a lot in this chapter. Let's do a quick recap of the code that we have written so far.

We started off by defining a function for preprocessing. This preprocess function takes a DataFrame as an input and performs the following actions:

• Removing missing values
• Removing outliers in the fare amount
• Replacing outliers in passenger count with the mode
• Removing outliers in latitude and longitude (that is, only considering points within NYC)

This function is saved under utils.py in our project folder.

Next, we also defined a feature_engineer function for feature engineering. This function takes a DataFrame as an input and performs the following actions:

• Creating new columns for year, month, day, day ...