Session 9

Introduction to Modeling

Class Objective:

The goal of this class is to expose you more to the introduction of the analysis process.

Readings (To be done before class):

(1) Cross Validation
(2) The 10 Algorithms Machine Learning Engineers Need to Know.
(3) 15 Algorithms Machine Learning Engineers Must Need to Know (4) A Tour of Machine Learning Algorithms
(5) An Introduction to Machine Learning with Python - Chapter 2-3

In Class Exercises

Project Exercise Please look through Kaggle and select a project.

Notebooks

Topic
Link
The Simplest Neural Network with Numpy Open In Colab
Train Test Split Open In Colab
Introduction to Logistic Regression Open In Colab
K Nearest Neighbor Open In Colab
ROC and SVM Open In Colab
HM5A Visualization & Screen Scraping Open In Colab
HM5B Intro Modeling Open In Colab