[Feature Request]: Advanced Machine Learning Snippets: Hyperparameter Tuning & Feature Importance Calculation

[PeroxideParadox]

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Feature Description

Hi @UTSAVS26 , I want to add this Machine Learning Snippets: Hyperparameter Tuning & Feature Importance Calculation

Issue Description:

Objective:
Add advanced and reusable machine learning snippets for frequently used tasks, such as hyperparameter tuning and feature importance calculation, under the machine_learning category in the PySnippets project.

Usefulness:

Hyperparameter Tuning:

• The grid_search_hyperparam_tuning function allows developers to automate the process of finding the best hyperparameters for their machine learning models. This can significantly improve model performance, making it easier for users to achieve better results without extensive manual tuning.

Feature Importance Calculation:

• The calculate_feature_importance function helps users understand the contribution of each feature to the model’s predictions. This insight is crucial for model interpretability and can guide feature selection in future modeling efforts.

Tasks:

1. Grid Search Hyperparameter Tuning Function:

   • Implement a function grid_search_hyperparam_tuning that performs hyperparameter tuning using grid search with cross-validation.
   • The function should accept a model, parameter grid, and training data, and return the best set of hyperparameters.
   • Write comprehensive unit tests for this function, covering different scenarios.

2. Feature Importance Calculation Function:

   • Implement a function calculate_feature_importance to compute feature importance using models like Random Forest.
   • The function should take in a trained model and training data, returning an array of feature importance values.
   • Write unit tests to ensure the function calculates feature importance correctly for a given dataset.

Record

• [X] I agree to follow this project's Code of Conduct
• [X] I want to work on this issue
• [X] I'm willing to provide further clarification or assistance if needed.

Full Name

Peroxide Paradox

Participant Role

Participant (GSSOC)

[github-actions[bot]]

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