Build a Logistic Regression Model
Explore how to build a logistic regression model using Python and integrate it with a Streamlit user interface. Learn to prepare and manipulate data, apply train-test splitting and scaling, and implement the model training and prediction steps. This lesson helps you create an interactive UI that makes logistic regression predictions accessible.
We'll cover the following...
We'll cover the following...
First, we’ll load the Titanic dataset and manipulate it to meet our requirements.
Load the DataFrame
We import the dataset and create a DataFrame.
Let’s read the dataset and print it below:
We need to perform the following operations on our data before our logistic regression model can use it:
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Assign a ...