Predictions with Standardized Coefficients with sklearn in Python Template
The Predictions with Standardized Coefficients with sklearn in Python shows how to predict values using a model that was fit on standardized inputs. First, we solve a multiple linear regression problem with two continuous features using the machine learning package sklearn, after which we apply standardization. Some other related topics you might be interested are Predictions with statsmodels in Python, Feature Selection through Standardization with sklearn in Python, Visualizing Linear Regressions with matplotlib in Python. You can now download the Python template for free. The Predictions with Standardized Coefficients with sklearn in Python template is among the topics covered in detail in the 365 Data Science program.
Hristina HristovaCourse Author Linkedin profile
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 is interested in machine learning in Python.
How it can help you
The reason why machine learning algorithms are built in the first place is to make predictions. However, whenever the features of the dataset have been standardized, this can cause some problems. This template aims to show how to avoid potentials issues.
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