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Preprocess Data with the scikit-learn Python Package

In this lab, we will load a dataset from a SQLite database into a pandas DataFrame. Once loaded, we will standardize the dataset using the `StandardScaler()` method and write it to a new table within the SQLite database. Basic Python programming skills will be required for this lab. If you need a refresher, check out the following course: - [Certified Associate in Python Programming Certification](

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Path Info

Clock icon Intermediate
Clock icon 30m
Clock icon Jun 04, 2021

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Table of Contents

  1. Challenge

    Load the Data

    Load the data from the provided SQLite database (data.db) into a pandas DataFrame object.

  2. Challenge

    Scale the Data

    Use the StandardScaler() method of the scikit-learn preprocessing package to scale the data such that the distribution is now centered around 0, with a standard deviation of 1.

  3. Challenge

    Save the Data

    Write the scaled dataset to a new table named data-scaled in the SQLite database.

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