The Applied Machine Learning course teaches you a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using Python as the programming language. Since this course requires an intermediate knowledge of Python, you will spend the first part of this course learning Python for Data Analytics taught by Emeritus. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Machine Learning course. If you are looking to implement or lead a machine learning project or looking to incorporate machine learning capability in your software application, this course is appropriate for you. This is a programming course: you will be required to write code.

Program Overview

Master the models and methods of machine learning while acquiring the Python programming knowledge you need to find solutions to real-world data problems. At the end of the course, you will be able to:

• DEFINE a model for your data and make the model learn.
• BUILD regression models to predict an unknown output from a given set of inputs.
• CREATE classification models to categorize datasets such as email messages as spam or non-spam.
• DEVELOP unsupervised models like topic models or recommender systems to extract hidden patterns from large amounts of data.
• DETERMINE hidden parameters in data to improve the accuracy of your model’s predictions.
• CREATE probabilistic data models to predict a range of possible outcomes that account for real-world risks and uncertainties.

This course is designed for professionals who intend to transition to the role of a Data Scientist. This course is for you if you are a Software developer or a Project manager or a Business analyst or a Data Scientist or a Data Engineer who wants to build a solid foundation in Machine Learning.

Previous batches have come from:

• Industries: Banking, Software, Consulting, Retail, Consumer Packaged Goods, Healthcare and Energy industries.
• Countries: United States, India, United Kingdom, Canada, Australia, Hong Kong, Mexico.

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Emeritus offers online professional education courses in collaboration with top-ranked universities across the world: MIT, Columbia, Dartmouth, Wharton, UC Berkeley, Cambridge, London Business School and others. Using technology and curriculum innovation, Emeritus enables working professionals who cannot enroll in full-time courses to access a top-tier, affordable education that will give them the skills needed to be the business leaders of tomorrow. Emeritus’ global team includes 550+ employees located in Boston, Dubai, Mexico City, Mumbai, New Delhi, Shanghai and Singapore.