CSCI 373: Lab Exercises

Most weeks, we will use our Wednesday class time to practice valuable skills for applying machine learning to real-world problems through hands-on practice with lab exercises in King 135/137. The instructions for starting each lab will be provided below.

Instructions for using GitHub for our lab exercises can be found on the Resources page of the class website, as well as using this link.

We will be using the Linux operating system on the lab machines. Instructions for logging into Linux will be provided within Lab 1. I would suggest creating a folder (e.g., called CSCI373) in your user directory to store your cloned repositories for each lab (and also the homework assignments that you want to run on the machines in the computer labs).

Lab 1: Python Libraries

Date: February 14
URL: https://classroom.github.com/a/kqEsVwzr

Lab 2: pandas and scikit-learn

Date: February 21
URL: https://classroom.github.com/a/QXykDObf

Lab 3: Data Visualization with plotnine

Date: March 6
URL: https://classroom.github.com/a/hiXLW5mh

Lab 4: Data Transformations

Date: March 13
URL: https://classroom.github.com/a/s3Ahe9d4

Lab 5: Tensorflow

Date: April 3
URL: https://classroom.github.com/a/WHHLwsP4

Lab 6: Feature Selection

Date: April 10
URL: https://classroom.github.com/a/pHim0CPS

Lab 7: Hyperparameter Tuning

Date: April 17
URL: https://classroom.github.com/a/nwsjKTew

Lab 8: Convolutional Neural Networks (CNNs)

Date: April 24
URL: https://classroom.github.com/a/Cs5Je9RK