Data Science Tracks – Air Quality Index Forecasting

a) Load the Air Quality Index Dataset (or link available in https://archive.ics.uci.edu/dataset/360/air+quality

b) Plot the target data NO₂ (G7).

c) Adjust target data.

d) Use time series split (5 splits).

e) Compare 3 regression models (Linear Regression, Random Forest, Naïve).

f) Check MSE and MAE.

Data Project Management Track – Air Quality Index Project Planning

a) Detail the dataset info.

b) Plan project steps according to: CRISP-DM, KDD, or TDSP.