September 2022
Intermediate to advanced
2h 28m
English
Closed Captioning available in English
Overview
In this 2 hr course, you'll master the basics of Python for machine learning, helping you understand and apply fundamental algorithms to solve real-world problems. The course focuses on teaching you to work with frameworks like Scikit-learn, TensorFlow, and much more.
What I will be able to do after this course
- Understand the core principles of machine learning regression techniques, including linear regression.
- Learn to apply gradient descent in optimization problems.
- Get hands-on experience with artificial neural networks using Python.
- Develop predictive models using clustering algorithms.
- Gain proficiency in Python libraries like Scikit-learn and Keras for machine learning.
Course Instructor(s)
The course is presented by Meta Brains, experts in technical education with numerous courses empowering learners to excel in programming and data science. Their teaching approach is methodical, practical, and enriched with real-world scenarios and challenges.
Who is it for?
This course is ideal for aspiring data scientists and Python programmers looking to dive into machine learning. Prior knowledge of Python basics is expected, as well as a willingness to understand mathematical concepts behind algorithms. With this course, learners can expand their skill set, applying Python-based machine learning to practical challenges in their industry.
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