Build Predictive Models with Regression

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90 minutes

5 steps

·Intermediate

After 90 min: A working predictive model that forecasts outcomes based on historical data

What you need

LaptopPythonScikit-learnJupyter Notebook

The 90-Minute Plan

Understand Regression0–15 min

Learn linear and logistic regression concepts. Explore when to use each.

Prepare Training Data15–35 min

Load data, handle missing values, and split into training and test sets.

Train Your Model35–55 min

Fit a regression model using scikit-learn. Evaluate accuracy metrics.

Visualize Results55–75 min

Create plots showing predictions vs. actual values. Identify patterns.

Ship & next steps75–90 min

Make predictions on new data. Document your model. Next: explore classification.

Pro Tip

Feature selection matters. Avoid overfitting. Always validate on separate test data.

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After 90 min: Insights extracted from a dataset with visualizations and statistical analysis

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After 90 min: A production ML system that automatically trains, evaluates, and deploys models

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TechIntermediate

After 90 min: A webpage with buttons, forms, and interactive elements that respond to user actions

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After 90 min: A website that looks perfect on phones, tablets, and desktops

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