Last few slides still under WIP

National Technological University,

Machine Learning Data Analytics @ School of Electrical and Electronic Engineering

Machine Learning Week Day 1 Part 1 Presentation

Duration: 1.5h

I use mathematical concepts to introduce students to Python. This comes with the assumption that they have no clue about Python.

I go through the essentials if they want to start out on Machine Learning.

• Multivariable Function conversion (i.e. f(x, y) = z)
• Nested Functions (i.e. f(f(x))
• Prepared Functions (i.e. math.log(x))

This focuses heavily on preparing students on how to Google the right concepts and what are the common terms in Data Preparation.

Despite me focusing on functions, I try to deliver the idea that everyone can do data science if they google the right things.

• Selecting
• Splitting
• Aggregating
• Unique
• Joining

telecom_churn.csv from https://github.com/Yorko/mlcourse.ai/blob/master/data/telecom_churn.csv