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Linear Regression Model in Python- Predictions versus Targets Template

In this Linear Regression Model in Python- predictions versus targets template, we will show you how to plot the predictions the model has made versus the true targets. Some other related topics you might be interested in are Predictions with statsmodels in Python, Feature Selection through Standardization with sklearn in Python, Predictions with standardized Coefficients with sklearn in Python, Visualizing Linear regressions with matplotlib in Python. You can now download the Python template for free. The Dummy Variables with pandas in Python template is among the topics covered in detail in the 365 Data Science program.

Hristina Hristova
Course Author

Who is it for

This is an open-access Python template that is going to be very useful for Data Analysts, Data Scientists, Machine Learning Engineers and anyone who wants to learn how to evaluate the performance of their machine learning models

How it can help you

After constructing a linear regression model, it is always a good idea to evaluate its performance. One way to do this is by plotting the predicted values against the true ones. A perfect model would result in a 45-degree line. Typically, that is not the case, but can rather serve as a benchmark for evaluating the performance of the model.

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Linear Regression Model in Python- Predictions versus Targets Template