À propos
INTRODUCTION In this course, you'll embark on a journey through the essential principles of machine learning, starting with an introduction to its history and significance, and exploring the different types of learning including supervised, unsupervised, and reinforcement learning. You'll delve into practical implementations of classification and regression, learning to solve real-world problems with cutting-edge techniques. For a 50% Discount, use This One Time PROMO CODE: AI50 MODULES Module 01: Introduction to ML and Its Applications Module 02: Basic Concepts of Machine Learning Module 03: Classification Algorithms Module 04: Regression Algorithms Module 05: Neural Networks Module 06: Final Project (Recommendation System) LEARNING OUTCOMES Upon completion of this training course participants will be able to: 1) Design and Implement ML Models 2) Solve Real-World Problems 3) Make Data-Driven Decisions 4) Advance in Their Careers 5) Lead and Innovate TARGET AUDIENCE 1) Individuals looking to start a career in data science and machine learning 2) Professionals who want to integrate machine learning 3) Analysts aim to enhance their skill set with machine learning 4) University students and researchers 5) Business professionals and managers PREREQUISITE: Nil COURSE DURATION: 5 - 6 Hours ASSESSMENT TYPE: Continuous Assessment and MCQ IS A CERTIFICATE OF COMPLETION PROVIDED AFTER THE COURSE: Yes. However, learners must score at least 80% on the final MCQ exam WHAT ARE THE TAKE-HOME MATERIALS AFTER THE COURSE Cheat sheets, and a copy of the final project
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