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Python 3
Importing Required Libraries

Importing Required Libraries

Importing Required Libraries

Importing Required Libraries

The next step is importing all required Python libraries.

Code

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import (
mean_absolute_error,
mean_squared_error,
r2_score
)

Explanation

Each library performs a specific task:

NumPy handles numerical computations.
Pandas loads and manipulates datasets.
Matplotlib creates visualizations.
Seaborn generates statistical plots.
Scikit-learn provides KNN Regression, GridSearchCV, train-test splitting, and evaluation metrics.

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Importing Required Libraries

Contents

Importing Required Libraries

Code

Explanation

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