Train, Evaluate, and Integrate Machine Learning Models (part 1)

Preparatory Reading Material

• Smell Pittsburgh: Engaging Community Citizen Science for Air Quality. Yen-Chia Hsu et al. 2020. ACM Transactions on Interactive Intelligent Systems. 10, 4, Article 32. DOI:https://doi.org/10.1145/3369397.
• Smell Pittsburgh: Data Analysis

Experience

• Smell Pittsburgh Data Visualisation
• Random Forest Demonstrator
• K-Means Clustering interactive Demo
• Another k-means Demo
• Yet another interactive clustering demo

Lecture Slides

• Lecture 6 Slides (PDF - 22 Mb)

Lecture Notes

Work in Progress

Additional Material

• This is a list of datasets you can download and experiment with
  • Mall Customers Dataset: it contains information about people visiting the mall in a city. Columns include gender, customer id, age, annual income, and spending score.
  • Wine Quality Dataset: The dataset contains different chemical information about the wine. The dataset is suitable for classification and regression tasks.