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Machine Learning and AI (Artificial Intelligence) is the most sought-after technology in terms of learning as well as career . With the increasing popularity of automation, ML & AI are occupying the industry like wildfire. Thus, it becomes very essential to be equipped with these technologies in order to excel in the IT industry.

And when we talk about Machine Learning, then topics like Supervised Learning, Unsupervised Learning, Reinforced Learning offer a multitude of avenues to be explored. Thus, if you want to upskill yourself with the lastest technologies then ML is undoubtedy a good choice to consider.

Thus, we present to you the list of Best Machine Learning Courses that you can take up in this lockdown to utilize your time and upskill youself.

1. Machine Learning A-Z (Python & R in Data Science Course)

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

Course rating: 4.5 out of 5.0 ( 121,559 Ratings total)

In this course, you will :

• Master Machine Learning on Python & R.
• Have a great intuition of many Machine Learning models.
• Make accurate predictions.
• Make a powerful analysis.
• Make robust Machine Learning models.
• Create strong added value to your business.
• Use Machine Learning for personal purpose.
• Handle specific topics like Reinforcement Learning, NLP and Deep Learning.
• Handle advanced techniques like Dimensionality Reduction.
• Know which Machine Learning model to choose for each type of problem.
• Build an army of powerful Machine Learning models and know how to combine them to solve any problem.

You can take Machine Learning A-Z (Python & R in Data Science Course) Certificate Course on Udemy.

2. Bayesian Machine Learning in Python: A/B Testing

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

Course rating: 4.6 out of 5.0 ( 3,343 Ratings total)

In this course, you will :

• Use adaptive algorithms to improve A/B testing performance.
• Understand the difference between Bayesian and frequentist statistics.
• Apply Bayesian methods to A/B testing.
• First, you will see if we can improve on traditional A/B testing with adaptive methods. These all help you solve the explore-exploit dilemma.
• You will learn about the epsilon-greedy algorithm, which you may have heard about in the context of reinforcement learning.
• You will improve upon the epsilon-greedy algorithm with a similar algorithm called UCB1.

- Finally, you will improve on both of those by using a fully Bayesian approach.

You can take Bayesian Machine Learning in Python: A/B Testing Certificate Course on Udemy.

3. Introduction to Machine Learning for Data Science

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

Course rating: 4.4 out of 5.0 ( 3,874 Ratings total)

In this course, you will :

• Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.
• To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
• The Impacts of Machine Learning and Data Science is having on society.
• To really understand computer technology has changed the world, with an appreciation of scale.
• To know what problems Machine Learning can solve, and how the Machine Learning Process works.
• How to avoid problems with Machine Learning, to successfully implement it without losing your mind!.

You can take Introduction to Machine Learning for Data Science Certificate Course on Udemy.

4. A-Z Machine Learning using Azure Machine Learning (AzureML)

Azure ML (Machine Learning): Azure Machine Learning Studio, Machine Learning on the cloud, Machine Learning without coding

Course rating: 4.5 out of 5.0 ( 2,287 Ratings total)

In this course, you will :

• Master Data Science and Machine Learning Models using Azure ML.
• Understand the concepts and intuition of Machine Learning algorithms.
• Build Machine Learning models within minutes.
• Choose the correct Machine Learning Algorithm using the cheatsheet.
• Deploy production grade Machine Learning algorithms.
• Deploy Machine Learning web services in the simplest form possible including excel.
• Bring in great value to the business you manage.

Machine Learning is one of the hottest and top paying skills. It's also one of the most interesting field to work on.

You can take A-Z Machine Learning using Azure Machine Learning (AzureML) Certificate Course on Udemy.

5. Amazon AWS SageMaker, AI and Machine Learning with Python Course

Complete Guide to AWS Certified Machine Learning (MLS-C01) - Specialty and Practice Test

Course rating: 4.5 out of 5.0 ( 1,759 Ratings total)

In this course, you will :

• Learn AWS Machine Learning algorithms, Predictive Quality assessment, Model Optimization.
• Integrate predictive models with your application using simple and secure APIs.
• Convert your ideas into highly scalable products in days.
• Practice test and resources to gain AWS Certified Machine Learning - Specialty Certification (MLS-C01).

Learn about cloud-based machine learning algorithms, how to integrate with your applications and Certification Prep

You can take Amazon AWS SageMaker, AI and Machine Learning with Python Course Certificate Course on Udemy.

Thanks for reading this article. If you like these web development courses, then please share it with your friends. In case you want to explore more, you can take the Free Data Structures & Algorithms Courses

In case you liked this article, you can also visit the following posts;

• Best Docker Courses for Productive Quarantine!
• Top Vue JS courses & tutorials to take during the lockdown

If you have any questions or feedback or If you think any course needs to be added into this list please comment about them.