Challenge 1
Compito
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In this challenge, you will need to work with the 'adult-census.csv' dataset. It contains both categorical and numerical data. Your task will be to prepare the data for processing.
- Read the dataset
'adult-census.csv' - Explore the dataset. Carefully check which character indicates the missed data in the dataset and replace it with the
np.nanobject - Remove rows with missing values
- Let's start with processing categorical data - columns
'workclass','sex'Use a one-hot encoding method to encode them - For numeric data (
'age','hours-per-week'), you will need to scale the data - Print processed data
Soluzione
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Grazie per i tuoi commenti!
Sezione 6. Capitolo 1
single
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Challenge 1
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Compito
Swipe to start coding
In this challenge, you will need to work with the 'adult-census.csv' dataset. It contains both categorical and numerical data. Your task will be to prepare the data for processing.
- Read the dataset
'adult-census.csv' - Explore the dataset. Carefully check which character indicates the missed data in the dataset and replace it with the
np.nanobject - Remove rows with missing values
- Let's start with processing categorical data - columns
'workclass','sex'Use a one-hot encoding method to encode them - For numeric data (
'age','hours-per-week'), you will need to scale the data - Print processed data
Soluzione
Tutto è chiaro?
Grazie per i tuoi commenti!
Sezione 6. Capitolo 1
single