The Ultimate Python & Artificial Intelligence Certification Bundle

3 Reviews
557 Enrolled
9 Courses & 40 Hours
You save 97% -

What's Included

Artificial Intelligence (AI) in Python: A H2O Approach
  • Certification included
  • Experience level required: Intermediate
  • Access 27 lectures & 3 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

27 Lessons (3h)

  • Your First Program
  • Welcome To The World of Python AI
    What is AI?9:51
    Introduction to Python10:57
    The IPython Ecosystem19:13
  • Introduction to Pandas
    Read CSV5:42
    Read Excel5:31
    Read HTML5:58
  • Introduction to H2O
    More H2O Installation2:11
    Getting Used To the H2O Framework2:12
  • What is Machine Learning (ML)?
    Theory Behind ML5:32
  • Supervised Learning
    Set up GLMs11:35
    glm grid10:03
    Search or GBM Parameters7:02
    XGB Theory2:02
    xgboost binary5:15
    xgboost multiple5:12
    Search For the Best H2O Model5:20
  • Unsupervised Learning
    Principal Component Analysis (PCA) Theory2:37
    k-means theory1:57
  • Neural Networks
    What are Activation Functions?5:50
    Implement Deep Learning for Binary Classification8:01
    Theory Behind Autoencoders1:46
    Set up Autoencoder4:06

Artificial Intelligence (AI) in Python: A H2O Approach

Minerva Singh

Minerva 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.


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!

4.6/5 average rating: ★ ★ ★ ★

  • Access 27 lectures & 3 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


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


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


  • 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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