This training will instruct the student in the Python programming language to enable the authoring and execution of simple to highly complex Python applications with two and three-dimensional visualization. Apache Zeppelin will be used as the IDE for programming environment.
This course will introduce advanced features of Python: objects, inheritance, generators and importing and using module libraries (packages) such as Pandas, SciPy and Matplotlib.
Anticipate lecture, examples of real use cases and hands-on programming, the Python language syntax and usage.
50% Lecture and 50% Hands-on Labs
Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus.
Excellent presentation skills, subject matter knowledge, and command of the environment.
Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect.
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Students must have experience working in a browser-based environment. Basic knowledge of a scripting or an object-oriented programming language is recommended, but not a requirement.
Detailed Class Syllabus
Day 1: Fundamental Machine Learning and Classification
Day 2: Training Models and Support Vector Machines
Day 3: Decision Trees and Ensemble learning and Random Forests
Day 4: Dimensionality Reduction