[Feature Request]: Add KNN regression

[Aditi22Bansal]

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Feature Description

In this, first standardize the features using StandardScaler to ensure that all features have the same scale. Then, train a KNN regression model with 5 neighbors (n_neighbors=5). Then predict the test set results and evaluate the model using mean squared error and R^2 score

Use Case

Integrating a K-Nearest Neighbors (KNN) regression model alongside the existing linear regression model adds depth and versatility to the analysis of salary prediction in the developer community dataset.

Benefits

By incorporating a KNN regression model alongside the existing linear regression model, the project can potentially achieve higher predictive accuracy. KNN regression is particularly useful for capturing non-linear relationships in the data, which may lead to more accurate salary predictions.
The addition of KNN regression enables a more comprehensive exploration of the relationships between features and salaries in the developer community dataset. By leveraging the local information from neighboring data points, KNN regression can uncover subtle patterns and nuances that may be overlooked by linear regression.

Priority

High

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[github-actions]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[Aditi22Bansal]

@sanjay-kv
Kindly assign me this issue

[github-actions]

Hello @Aditi22Bansal! Your issue #270 has been closed. Thank you for your contribution!