Add LightGBM Algorithm Implementation for Efficient Gradient Boosting

[BigBang001]

Closes: #99

• Title : ✨ Add LightGBM Algorithm Implementation for Efficient Gradient Boosting
• Your Name: BigBang001
• Identify yourself: Contributor (SWOC)

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

This PR introduces the LightGBM algorithm for classification and regression tasks, designed for large-scale datasets. It provides faster computation and reduced memory usage, enhancing model performance. The implementation includes the lightgbm_model.py file for model creation and lightgbm_model_test.py for unit testing.

Checklist: ☑️

• My code follows the Contributing Guidelines & Code of Conduct.
• This PR does not contain plagiarized content.
• I have performed a self-review of my code.
• I have commented my code, especially difficult sections.
• My changes generate no warnings.

Happy Coding 🎉

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[Avdhesh-Varshney]

@BigBang001 Nice work.

But PR rejected due to commit in main branch. Create your own branch, raise the pr.

• You have followed the other algorithms pages. But they are not perfectly written up. Write up such type of resource which helps to understand scratch code of this algorithm.