Python Data Analysis: Comprehensive Guide to Data Science, Analytics and Metrics with Python by Alex Campbell

Author:Alex Campbell [Campbell, Alex]
Language: eng
Format: azw3, epub
Published: 2020-09-28T00:00:00+00:00

Run the code and repeat the same with X8.

Develop an Easy Model

Yeah, you read right. You are all caught up and ready to make the model. But always keep it in mind that this tutorial is written in the simplest possible way. So you can use it to train yourself and practice. Solve simple problems with this coding and start your journey of learning coding and training models.

First, split the dataset into two separate objects. Just predict simple things with the model in the target variable.

Separate the input features and target variables in Python.

# Target variable

y = df.Y1

# Input features

X = df.drop( ['Y1', 'Y2' ], axis = 1

.drop() is a dataframe method.

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