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week-11.md

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Week 11

Objectives

  • Unsupervised learning with K-Means Clustering
  • Supervised learning with multiple classifiers: Naive Bayes, k-nearest neighbor, Logistic Regression, Support Vector Machine (SVM), Multi-layer perceptron classifier

Exercises

Select Raw at the following link and save the Jupyter notebook file to sharedfolder on your desktop.

  1. Unsupervised Learning: k-means clustering
  2. Supervised Learning

Getting started

Open Terminal in macOS and launch our Docker container:

docker rm -f pcda_ubuntu
docker pull pcda17/ubuntu-container
docker run --name pcda_ubuntu -ti -p 8889:8889 --volume ~/Desktop/sharedfolder/:/sharedfolder/ pcda17/ubuntu-container

In Windows 10, open PowerShell and enter the following to launch the Docker container:

docker rm -f pcda_ubuntu
docker pull pcda17/ubuntu-container
docker run --name pcda_ubuntu -ti -p 8889:8889 --volume C:\Users\***username_here***\Desktop\sharedfolder:/sharedfolder/ pcda17/ubuntu-container

Open any browser and type (your Juypter Notebook will launch):

localhost:8889