Overview
Machine learning gives you unimaginably powerful insights into data. Today, implementations of machine learning have been adopted throughout Industry and its concepts are numerous.
This On-Demand course is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. We will cover concepts such as classification, regression, clustering, and more, all the while working with different kinds of databases.
By the end of this On-Demand course, you will have learned to apply various machine learning algorithms and will have mastered Python's packages and libraries to facilitate computation. You will also be able to implement your own machine learning models.
Who should take this course
This video appeals to those developers who have a basic machine learning knowledge and want to explore the various arenas of machine learning by creating insightful and interesting projects.
What you will learn from this course
- Explore and use Python's impressive machine learning ecosystem
- Successfully evaluate and apply the most effective models to problems
- Learn the fundamentals of NLP—and put them into practice
- Visualize data for maximum impact and clarity
- Deploy machine learning models using third-party APIs
- Get to grips with feature engineering
Code Bundle:
Course Curriculum
What's included?
Alexander T. Combs
About the Instructor
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.
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