Machine Learning Week Day 1

Last few slides still under WIP

NTU, MLDA @ EEE

National Technological University,

Machine Learning Data Analytics @ School of Electrical and Electronic Engineering

Machine Learning Week Day 1 Part 1 Presentation

Duration: 1.5h

Topics

Intro to Python

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.

Math to Python Focuses

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

Intro to Python Data Preparation

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.

Function Focuses

• Selecting
• Splitting
• Aggregating
• Unique
• Joining

Attribution

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