Content Suggestion for Intermediate Track

[AM1CODES]

We are planning to expand the platform further and trying to bring in more quality content for the page. Suggestions regarding what should be added to the Intermediate Track are welcome under this issue. We will further select and assign the respective issues to the people based on their suggestions.

[pratik305]

@AM1CODES I would like to suggest adding Ensemble Learning to the Intermediate Track. It is a crucial machine learning technique that combines multiple models to improve accuracy and performance. Topics like Bagging (e.g., Random Forests), Boosting (e.g., XGBoost, AdaBoost), and Stacking could be covered, along with practical use cases.

This will help learners grasp advanced methods for improving model performance and prepare them for more complex machine learning tasks.

[pratik305]

@AM1CODES i want to work on this