Questions

1. When reading a CSV file using pandas, how does pandas recognize that certain columns are datetime?

We can use the parse_dates argument when reading the CSV file using the read_csv function in pandas.

2. How can we filter a DataFrame to only select rows within a certain range of values, assuming that we have a DataFrame, df, and we want to select rows with height values within the range of 160 and 180?

We can filter a DataFrame like so:

df = df[(df['height'] >= 160) & (df['height'] <= 180)]

This returns a new DataFrame with range of height values between 160 and 180.

3. How can we use code modularization to organize our neural network projects?

We can compartmentalize our functions using modular pieces of code. For example, in this project, we defined a preprocess and feature_engineer function in utils.py, which allows us to focus on...