Machine Learning Basics teaches you everything on the topic thoroughly from scratch, so you can achieve a professional certificate for free to showcase your achievements in professional life.
DurationMachine Learning Basics teaches you everything on the topic thoroughly from scratch, so you can achieve a professional certificate for free to showcase your achievements in professional life.
This Machine Learning Basics is a comprehensive, instructor-guided course designed to provide a detailed understanding of the nature of the related sector and your key roles within it.
To become successful in your profession, you must have a specific set of skills to succeed in today’s competitive world. In this in-depth training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge and skills.
All of our courses, including this Waiter Training, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.
Join us as we explore the world of Machine Learning (ML) using Python! The course is designed for individuals who wish to advance their careers in Data Science or get started in Machine Learning.
Software developers and software engineers with a basic knowledge of Python. Data Scientists, Data analysts and Business Intelligence professionals who are new to Python. Developers, engineers, researchers and analysts who want to start learning about Artificial Intelligence and related concepts.
In this course, you will learn how to develop ML (Machine Learning) models to resolve business issues with the help of Google Cloud technologies which are widely used to design ML models.
Machine learning is one of the most exciting and dynamic fields in the world of data science. Everything from smartphones to autonomous cars, improved healthcare and climate prediction are built on these powerful set of tools for generating useful predictions from data.
The course is aimed at delegates with a Mathematical and/or Data Science/ML background. Good programming knowledge, especially using the Python programming language. Some experience and familiarity with the Pandas, Numpy and MatPlotLib python libraries for data analysis.
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