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Train and Test Split with sklearn in Python Template

The Train and Test Split with sklearn in Python template shows how to prevent overtraining of the machine learning algorithm by using the convenient train_test_split() method provided by sklearn to split a database into two parts - a training and a testing dataset. Some other related topics you might be interested are Regression Summary Table with sklearn in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through Standardization with sklearn in Python, Predictions with Standardized Coefficients with sklearn in Python. You can now download the Python template for free. The Train and Test Split with sklearn 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 Excel template that is going to be very helpful for Data Scientists, Data Analysts, Business Analysts and anyone who wants to know how to calculate the correlation in Excel.

How it can help you

The idea of a machine learning algorithm is that it learns from a set of training examples. We then test the knowledge of the model by feeding it new, unseed test data. Usually, raw data is not served to us with labels training and testing. This we need to do ourselves and the following template aims to help you with the task.

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Train and Test Split with sklearn in Python Template