6 Courses and Certifications

Udemy Machine Learning With Python Courses & Certifications

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Machine Learning A-Z™: Hands-On Python & R In Data Science

The Machine Learning A-Z™: Hands-On Python & R In Data Science online course is a study about the algorithms of machine learning using Python and R programming languages in data science. The online course is provided by Udemy for students who wish to learn about data science and machine learning concepts. The course consists of forty-four hours worth of videos, lectures, articles, and other significant resources for the students to learn at their own pace.

The online training helps engages the students in practical understanding of concepts and principles to apply in real-time situations.

The online program is developed by instructors such as Kirill Eremenko(Data Scientist), Hadelin de Ponteves(AI Entrepreneur), SuperDataScience Support, and Ligency Team. The students get access to the course materials all the time. The Machine Learning A-Z™: Hands-On Python & R In Data Science training program will provide the students with the course certificate after completing the program. 

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3,499
Skills Covered:
Machine learning Data science knowledge Knowledge of Python Knowledge of Programming algorithms

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Certificate

Bayesian Machine Learning in Python: A/B Testing

Bayesian Machine Learning in Python: A/B Testing online certification is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and offered by Udemy Inc., an online learning platform based in the United States that helps individuals learn new skills and professionals refine their existing ones. 

With Bayesian Machine Learning in Python: A/B Testing online training, methods that candidates will learn will not be limited to A/B testing; rather, they will use A/B testing as an introduction to how Bayesian techniques can be used. Candidates will master the essential tools of the Bayesian method - using A/B testing as an analogy - and then apply those Bayesian methods to more advanced machine learning models in the future.

Individuals taking the Bayesian Machine Learning in Python: A/B Testing online course, are advised to have prior knowledge of the following topics: probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF), python coding, Numpy, Scipy and Matplotlib so that their lack of knowledge of any particular topic won’t affect their overall learning experience. 

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4,099
Skills Covered:
Machine learning Data science knowledge Knowledge of Python

Offered by

Certificate

The Complete Machine Learning Course with Python

The Complete Machine Learning Course with Python online certification focus on providing an opportunity to candidates to create a catalogue of 12 Machine Learning projects that will help them secure their dream jobs or enable them to use Machine Learning algorithms to effectively deal with problems in business, career, or personal life.

The Complete Machine Learning Course with Python certification course is created by Codestars by Rob Percival - Teaching the Next Generation of Coders, Anthony NG - Algorithmic Trading Workshop Researcher and Conductor & Rob Percival - Web Developer And Teacher and presented by Udemy, to help programmers learn machine learning techniques from roots.

The Complete Machine Learning Course with Python online training will teach machine learning algorithms with python to classify flowers, estimate home prices, identify handwritings or numerals, identify staff who are most likely to depart early, detect cancer cells, and many such things until the end. 

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3,699
Skills Covered:
Machine learning Knowledge of Python Knowledge of deep learning

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