The goal of this lab was to create figures using Matplotlib on python. It was done in the Anaconda prompt in Windows. They include line charts, scatter plots, and subplots
More advanced graphs were made in Matplotlib as well as some curve fitting techniques
A few examples using the cross-validation algorithm were displayed as well.
Two introductory neural networks were made in Keras. The first had an accuracy of 78%, while the second had an accuracy of 67%. Also, a prediction program was made for the Titanic dataset. More Titanic projects can be found elsewhere on the site!