7 PM – AI/ML – Darin

Today’s Activities:

1. Reviewed finals projects, debugged streamlit and dataset related issues.
2. Finished the Titanic Survival Rate Prediction Problem!

Homework:

Part 1:

1. Continue working on your final project.

   Your goal this week is to train multiple models and deploy them all with the option to choose between different models on streamlit. 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).

Part 2:

1. Add some code in the Titanic Survival Rate project.
   1. Count how many passengers are male and how many are female. Use “Sex” column.
   2. Figure out the most expensive ticket price and the cheapest and the average. Use “Fare” column.
   3. Figure out how many people are younger than 10 years old. Use “Age” column.

Notes:

You can reach me at ddjapri@ayclogic.com.

All class notes can be found here.