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28:05
YouTube
SkillEdge Coaching (தமிழில்)
🚀 Day 39 | Project Part 4: Feature importance & Hyperparameter tuning in Machine Learning 🔥| Tamil
In this video, I take you through the next important stage of our Movie Revenue Prediction project. 👉 We explore Feature Importance to understand which features are influencing the model the most, perform Hyperparameter Tuning to improve model performance, and finally use the best model to make predictions on new input data. This is where ...
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Hyperparameter Optimization Methods
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Bayesian optimization is a method used to optimize complex functions that are expensive or time-consuming to evaluate. It is widely applied in machine learning, engineering, and scientific research to improve efficiency and precision, particularly in scenarios like hyperparameter tuning and experimental design. ✔️ Efficient Function Evaluation: Bayesian optimization minimizes costly evaluations, making it ideal for scenarios where each evaluation has a high resource cost. ✔️ Versatility: It hand
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