19. Hyperparameter Tuning (GridSearchCV & RandomizedSearchCV + Data Given) | Supervised Learning

📂 Dataset: 👉 Dataset link available in pinned comment In this video, we learn Hyperparameter Tuning, an important technique used to improve Machine Learning model performance. This tutorial includes: • What are Hyperparameters • Difference between parameters and hyperparameters • Why Hyperparameter Tuning is important • GridSearchCV explained • RandomizedSearchCV explained • Practical implementation using Python • Real dataset demonstration This video is part of the Supervised Learning playlist in our AIML Course by NexTechX, where complex concepts are explained in a simple and practical way. 💻 Tools used: • Python • Pandas • Scikit-learn 🚀 Related videos: • KNN Classification • Decision Trees • SVM Classification 🔔 Subscribe for more AI/ML tutorials and full courses.    / @thenextechx   #MachineLearning #HyperparameterTuning #GridSearchCV #Python #SupervisedLearning #AIML