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What is Applied AI and Machine Learning Syllabus about?

This document contains the syllabus for an Applied AI/Machine Learning course. The syllabus is divided into 3 modules covering topics such as programming fundamentals in Python, exploratory data analysis and visualization, and natural language processing. Module 1 includes chapters on Python basics, data structures, functions, NumPy, Matplotlib, Pandas, and SQL. Module 2 covers plotting, linear algebra, probability, statistics, and dimensionality reduction techniques like PCA and t-SNE. Module 3 focuses on

Author

Akash Raghavendra Kathavate Dept of TE

Language

EN