Machine Learning with Python Course (Mentor-Led Learning)

The Machine Learning with Python Course is a practical, mentor-led program designed to help learners build predictive models and intelligent systems using Python and modern machine learning algorithms. This course emphasizes data-driven decision making, real-world problem solving, and hands-on model development aligned with industry requirements.

The program starts with Python for Machine Learning, covering essential libraries and workflows required to process data and build ML models. Learners gain a strong understanding of supervised and unsupervised learning techniques, including how to train, evaluate, and optimize models for real-world use cases.

In the second month, students focus on model deployment and internship-based projects, where they apply machine learning algorithms to practical scenarios. This phase bridges the gap between theory and implementation by exposing learners to real datasets, deployment strategies, and project-based learning guided by experienced mentors.

By the end of the course, learners will be able to design, build, and deploy machine learning models using Python, making them job-ready for roles in Machine Learning, Data Analytics, and AI Development.

This course is ideal for students, graduates, and professionals aiming to start or advance a career in machine learning and artificial intelligence.