7 PM – AI/ML – Darin

Today’s Activities:

1. Reviewed finals projects
2. Continued the Titanic Survival Rate Prediction Problem

Homework:

For everyone:

1. Continue working on your final project. You should have a model trained already at this point, and you want to get streamlit up and running for testing model deployment! Upload your latest progress as an ipynb to the google drive.

For those with issues on training the models, do this fix:

!pip install -U "fastprogress==1.0.3"
import fastprogress
print("fastprogress:", fastprogress.__version__)

Then ensure it is 1.0.3, if it isn’t restart the notebook (theres a restart and clear cell output button on the top right of the notebook page).

Also in the latest titanic surival project, jot down one observation you have on what the model learned or some trend in the data (for example in class we observed that higher ages lead to lower survival rates)

Notes:

You can reach me at ddjapri@ayclogic.com.

All class notes can be found here.