"Deep Dive Into Dimensionality Reduction - A Machine Learning Approach" is a one day workshop is aimed to provide students from 6th Semester of CE & IT Department with an in-depth understanding of machine learning techniques, focusing particularly on dimensionality reduction methods. It is led by Prof. (Dr.) Mehul Raval, Experiential Learning, Ahemedabad University who will be covering key topics such as Machine Learning fundamentals, exploration of problem areas in Regression & Classification, and comprehensive insights into Principal Component Analysis (PCA). These topics are crucial for comprehending complex data structures and are fundamental in various applications across industries. In an era dominated by data-driven decision-making, proficiency in machine learning and dimensionality reduction techniques is indispensable for aspiring data scientists and machine learning engineers. Through interactive sessions, practical exercises, and collaborative discussions, students will enhance their analytical capabilities and expand their technical expertise under the guidance of experienced professionals in the field. In conclusion, this workshop offers students a chance to deepen their understanding of machine learning, particularly in dimensionality reduction. Through the interactive session and practical exercises, students will enhance their analytical skills. Mastering key topics like Machine Learning fundamentals and PCA promises to unlock new opportunities in data science careers. Co-sponsored by: IEEE LDRP Institute of Technology & Research Student Branch Speaker(s): Dr. Mehul Raval Room: MCA Labs, Bldg: Shift 1, LDRP ITR Campus, Gandhinagar, Gujarat, Gujarat, India, 382016