What you will learn

• Understand the concept and significance of classification as a supervised learning method.

• Identify and describe different classifiers, apply each classifier to perform binary and multiclass classification tasks on diverse datasets.

• Evaluate the performance of classifiers, select and fine-tune classifiers based on dataset characteristics and learning requirements.