added new loss functions

[bhanushri12]

Closes: #13

• Title : Added Mean Absolute Error and Root Mean Squared Error
• Name: Bhanushri Chinta
• Idenitfy yourself: GSSoC Contributor

Describe the add-ons or changes you've made 📃

This pull request adds Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) metrics to the project. These metrics provide a better understanding of the model's performance by quantifying the average error and the squared differences between predicted and actual values.

Changes:

Implemented MAE calculation: Added functions to calculate the Mean Absolute Error, which measures the average magnitude of errors in a set of predictions, without considering their direction.
Implemented RMSE calculation: Added functions to calculate the Root Mean Squared Error, which provides a measure of the differences between predicted and actual values. RMSE is particularly useful for understanding the magnitude of errors.
Updated readme by listing the new loss functions

Type of change ☑️

• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Checklist: ☑️

• My code follows the Contributing Guidelines & Code of Conduct of this project.
• This PR does not contain plagiarized content.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• My changes generate no new warnings.

[github-actions]

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[Avdhesh-Varshney]

resolve conflicts and attach your issue not the older pr

[Avdhesh-Varshney]

@bhanushri12 PR Approved 🎉