Machine Learning and Artificial Intelligence (Combined Intermediate & Advanced Level)

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Course Content

Introduction to Machine Learning

Python for Machine Learning

Data Preprocessing

Exploratory Data Analysis (EDA)

Supervised Learning

Unsupervised Learning

Advanced Machine Learning Techniques

Neural Networks and Deep Learning

Model Deployment and Monitoring

Real-World Projects and Case Studies

Artificial Intelligence Syllabus

Introduction to Artificial Intelligence

Python for AI

Problem Solving and Search Algorithms

Knowledge Representation and Reasoning

Natural Language Processing (NLP)

Computer Vision

Machine Learning in AI

Robotics and AI

Ethics and Future of AI

Real-World Applications and Projects