Mastering Hyperparameter Tuning: GridSearchCV vs RandomizedSearchCV Uncovered | Part 3
Автор: SAI Data Science
Загружено: 2025-06-12
Просмотров: 51
Описание:
🎯 Welcome to Part 3 of our Machine Learning Model Building Series!
In this final part, we dive deep into hyperparameter tuning using two powerful tools: GridSearchCV and RandomizedSearchCV.
🚀 Whether you're a beginner or intermediate ML learner, this video will help you:
✅ Understand the difference between GridSearchCV and RandomizedSearchCV
✅ Learn when to use each method
✅ Apply tuning techniques on a real dataset (Olist Brazil Project)
✅ Improve your model’s performance with smart parameter optimization
🔧 Topics Covered:
What is hyperparameter tuning?
How GridSearchCV works (with examples)
How RandomizedSearchCV works (with examples)
Pros and cons of each
Final model comparison with accuracy results
Visuals: Accuracy vs Time
Download Notebook : https://colab.research.google.com/dri...
💡 Ask a Question or Comment Below:
Struggling with tuning in your own project? Drop a comment with your issue or dataset, and I might feature it in the next video!
👍 Like, 🔔 Subscribe, and Share if you found this helpful!
#MachineLearning #GridSearchCV #RandomizedSearchCV #Python #HyperparameterTuning #MLProjects #OlistDataset
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