Predicting Daily Pollution Levels Using Machine Learning Title: “Forecasting Future Pollution Levels with Machine Learning: A Case Study Using the “pollution” Data Set”

Data Set
Use the data set “pollution” that is posed on Canvas to do the following tasks.
Tasks and Grading Rubrics
Follow the machine learning steps to predict the average daily pollution level for the next 7 days.
Load data and perform exploratory analysis (8 points)
Process and prepare data – hourly data is given in the data set, and you first need to convert the data into a daily average (10 points) Hint: use resample() from pandas
Train and evaluate models – select at least two machine learning algorithms (16 points)
Predict daily pollution level for next 7 days using the best-trained model from step 3 (6 points)
The overall quality of the project (precise and accurate coding, high-quality results – please use your own judgment to include only meaningful results and interpretations, e.g. there is no need to show the entire data set ) (10 points)