Machine Learning Using Python | BSH

The Machine Learning Using Python course introduces students to the concepts, techniques, and applications of machine learning in solving real-world problems. It focuses on understanding various learning algorithms, data preprocessing, model evaluation, and performance optimization. Using Python and popular libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow, students gain hands-on experience in building, training, and deploying machine learning models.

Course Objectives:

• To understand the fundamental concepts and types of machine learning.
• To explore data preprocessing, feature engineering, and model selection techniques.
• To implement machine learning algorithms using Python libraries.
• To evaluate model performance and apply optimization methods.
• To prepare students for applying ML techniques to real-world datasets.