Practical Artificial Intelligence (AI) with H2O in Python

YOUR COMPLETE GUIDE TO H2O: POWERFUL PYTHON PACKAGE FOR MACHINE LEARNING, & DEEP LEARNING IN PYTHON   

This course covers the main aspects of the H2O package for data science in Python. If you take this course, you can do away with taking other courses or buying books on Python-based data science as you will have the keys to a very powerful Python supported data science framework.

 In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in machine learning, neural networks and deep learning via a powerful framework, H2O in Python, you can give your company a competitive edge and boost your career to the next level!

LEARN FROM AN EXPERT DATA SCIENTIST:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I finished a PhD at Cambridge University, UK, where I specialized in data science models.

I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.

Over the course of my research, I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic.

This course will give you a robust grounding in the main aspects of practical neural networks and deep learning. 

Unlike other Python instructors, I dig deep into the data science features of Python and give you a one-of-a-kind grounding in data science…

You will go all the way from carrying out data reading & cleaning to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using Python.

Among other things:

• You will be introduced to powerful Python-based deep learning packages such as H2O.

• You will be introduced to important concepts of machine learning without the jargon.

• You will learn how to implement both supervised and unsupervised algorithms using the H2O framework

• Identify the most important variables.  

• Implement both Artificial Neural Networks (ANN) and Deep Neural Networks (DNNs) with the H2O framework

• Work with real data within the framework

NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable Python Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real-life.

After taking this course, you’ll easily use the data science package H2O to implement novel deep learning techniques in Python. You will get your hands dirty with real-life data, including real-life imagery data which you will learn to pre-process and model

You’ll even understand the underlying concepts to understand what algorithms and methods are best suited for your data.

We will also work with real data and you will have access to all the code and data used in the course. 

JOIN MY COURSE NOW!

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!