Artificial Intelligence (AI) in Python: A H2O Approach
Artificial Intelligence (AI) in Python: A H2O Approach
Artificial Intelligence (AI) in Python: A H2O Approach
Artificial Intelligence (AI) in Python: A H2O Approach

Artificial Intelligence (AI) in Python: A H2O Approach

4 Hours
$20.99 CAD$70.00 CAD
You save 70%
Artificial Intelligence (AI) In Python: A H2O Approach
Artificial Intelligence (AI) In Python: A H2O Approach
Artificial Intelligence (AI) In Python: A H2O Approach
Artificial Intelligence (AI) In Python: A H2O Approach

42 Lessons (4h)

  • Welcome To The World of Python AI
  • Read in and Preprocess Data From External Data Sources
  • Introduction to H2O
  • What is Machine Learning (ML)?
  • Supervised Learning With H2O
  • Unsupervised Learning
  • Neural Networks With H2O
DescriptionInstructorImportant DetailsRelated Products

Master 4 Hours of Content on Powerful Python Package for Machine Learning, Deep Learning, & More

MS
Minerva SinghMinerva Singh | Bestselling Instructor & Data Scientist
4.3/5 Instructor Rating: ★ ★ ★ ★
Minerva Singh is a Ph.D. graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. Minerva also holds an MPhil degree in Geography and Environment from Oxford University.

Description

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 mighty Python supported data science framework. In this age of big data, companies worldwide 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!

4.7/5 average rating: ★ ★ ★ ★

  • Access 42 lectures & 4 hours of content 24/7
  • Use the Python/Anaconda environment for practical data science
  • Learn the important concepts associated with supervised & unsupervised learning
  • Implement supervised & unsupervised learning on real-life data
  • Implement Artificial Neural Networks (ANN) & Deep
  • Neural Networks (DNN) on real-life data

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Prior exposure to common machine learning terms
  • Prior exposure to what neural networks are

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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