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Python & TensorFlow Masterclass for Machine Learning and AI John Academy cover art
Python & TensorFlow Masterclass for Machine Learning and AI John Academy cover art

Activates on Other. Region: Global.

Python & TensorFlow Masterclass for Machine Learning and AI John Academy

John Academy

€10.43
€10.43

In stock

Number of keys
Up to 5 per order
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Before you buy

Platform
Activates on Other platforms. You need an account with the service named in the activation notes.
Region
Global: no regional lockREGION FREE
Languages
English
Delivery
To your account, usually within minutes after payment is confirmed

Discover the power of machine learning with our Python & TensorFlow Masterclass. This course is suitable for aspiring data scientists and AI enthusiasts. The people who want to learn how to develop intelligent models using Python and TensorFlow. Starting with the fundamentals of Python, you'll advance to learning TensorFlow. Which, in turn, will allow you to build data-driven apps with no prior experience. Features: Interactive Learning: Engage in hands-on projects to develop machine learning models and explore deep learning techniques with TensorFlow. Expert Instructors: Learn from data science experts with extensive experience in Python and machine learning. Flexible Learning: Study at your own pace with access to all course materials and updates. Resource Access: Access a wide range of resources, including code samples, data sets, and comprehensive guides on machine learning. Benefits: Build foundational skills in Python and TensorFlow, specifically for machine learning applications. Enhance analytical and problem-solving skills through real-world data challenges. Receive a certificate of completion to showcase your expertise in machine learning. Get lifetime access to course materials, so you can learn and revisit as needed. Benefit from dedicated support to help you master the course content and tackle any learning hurdles. Requirements: This Python & TensorFlow Masterclass for Machine Learning and AI is available to learners of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. A good understanding of the English language, numeracy, and ICT will be helpful for successful completion.

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