5:30 PM – AI / Machine Learning – Gamas

Today We Did

1. We reviewed everyone individual project progress.
2. We started with Titanic Survivorship project.

Homework

1. tue-7-pm-pandas-hw. Homework needs to be completed using Pandas library. Research in the Internet how to use Python Pandas library. For those who cannot have Pycharm pandas library install. Please do this homework in Kaggle. Copy the main.py codes in Kaggle and upload the “students_scores.csv” to your Kaggle project.
   1. Find the average score for Math and English
   2. Add new column in data frame “Total” which is total of “Math”, “Science” and “English” score per student.
2. Kaggle computer vision individual project (due on Feb 4).
   1. Choose images data set. Examples: cars, flowers, shoes
   2. Similar to Pet Breed or Single Digit precision, create a computer vision model that can predict your image in Kaggle.
   3. Deploy your project to Streamlit.