This subtask requires you to explore your dataset by 

• telling its number of rows and columns,

• doing the data cleaning (missing values or duplicated records) if necessary

• selecting 3 columns, and drawing 1 plot (e.g. bar chart, histogram, boxplot, etc.) for each to 

summarise it

Task I.2: Recommendation engine

This subtask requires you to implement a recommender system on Collaborative filtering 

with Alternative Least Squares Algorithm. You need to include

• Model training and predictions

• Model evaluation using MSE

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