MACHINE LEARNING SEMESTERS

SEMESTER 1-1

Basics of mathematics, physics, programming, and communication skills.

01

SEMESTER 1-2

Introduction to data structures, databases, and basic problem-solving with coding.

02

SEMESTER 2-1

Core concepts of AI, probability, statistics, and object-oriented programming.

03

SEMESTER 2-2

Drive deep into core subjects, Machine learning algorithms, and data visualization techniques.

04

SEMESTER 3-1

Deep learning basics, natural language processing, and big data analytics.

05

SEMESTER 3-2

Advanced ML models, cloud computing, and AI applications in real-world and Data Science.

06

SEMESTER 4-1

Specializations like computer vision, reinforcement learning, and electives.

07