Course: Developing AI and Machine Learning Solutions with Python
duration: 9 hours |
Language: English (US) |
access duration: 90 days |
Details
In this online Python training you will learn more about how you can develop Machine Learning solutions with Python. You learn different concepts of Machine Learning and Deep Learning and the different categorizations of algorithms and their implementations using Python.
You will also learn how to implement various supervised and unsupervised algorithms of machine learning with Python, with the primary focus on clustering and classification. You will also learn how to implement a neural network with data sampling and workflow models by using scikit-learn.
Finally, you will learn how to implement data classification using various techniques, including Bayesian, and learn how to apply different search implementations with Python and scikit-learn.
Among topics this course covers are pre- and post-model approaches, machine learning workflows, Robotic Process Automation (RPA), RPA frameworks, UiPath and many more.
Result
You are familiar with the different concepts of machine learning and deep learning. You can implement supervised and unsupervised algorithms by using Python.
Prerequisites
You have knowledge of Python.
Target audience
Software Developer
Content
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What is included?
| Certificate of participation | Yes |
| Monitor Progress | Yes |
| Award Winning E-learning | Yes |
| Mobile ready | Yes |
| Sharing knowledge | Unlimited access to our IT professionals community |
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| Study materials | Certified teachers with in depth knowledge about the subject. |
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