import machine learning models in python

In Python, we can import a machine learning model using the scikit-learn library. The scikit-learn library provides a wide range of machine learning models that can be used for different types of problems.

To import a machine learning model, we need to first install the scikit-learn library using pip:

main.py
pip install scikit-learn
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Once scikit-learn is installed, we can import a specific machine learning model using the following syntax:

main.py
from sklearn.<module> import <model>
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Here, <module> refers to the specific scikit-learn module that contains the desired model, and <model> refers to the name of the model itself. For example, to import the Random Forest Classifier model, we would use the following code:

main.py
from sklearn.ensemble import RandomForestClassifier
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Similarly, to import the Linear Regression model, we would use the following code:

main.py
from sklearn.linear_model import LinearRegression
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Once imported, we can use these models to train on our data and make predictions.