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
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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