Week 5

Mini Individual Project Development

Introduction

This week is focused on applying the tools and concepts learned so far to a small individual data science project.

Learning goals

  1. Develop and refine the mini individual project plan

  2. Learn how to inspect data and clean data accordingly

  3. Learn about evaluating model performance of a classification algorithm

  4. Practice organizing code, data, and project workflows

  5. Get feedback and troubleshoot project challenges

Lecture - ML and AI project flow

Introduction to machine learning and artificial intelligence, focust on the different steps needed to get to a final poster presentation

Lab - Work on Mini Individual Project

Dedicated hands-on time for project development, troubleshooting, and instructor support. The focus this week lies on data inspection and data cleaning.

Discussion - Creating your first labeling algorithm and evaluating its performance

Create a labeling algorithm hands on based on the people in the class and use the pruned version of this model to learn about model performance evaluation such as accuracy, confusion matrix , sensitivity/specificity etc.

Assignment

Submit a progress update on your mini individual project.

Looking ahead

The mini project will prepare you for the larger team-based final project. We will soon introduce the expectations for working with real farm data and collaborating with farmers.

Back to course schedule ⏎