ML QP
Machine Learning Lab External 1. a) Create a small dataset with at least 10 records and 4 columns: · Age (numeric) · Height (numeric) · Weight (numeric) · City (categorical, with possible values: "City A", "City B", "City C") b) Ensure that some entries in the Age and Weight columns contain missing values. · Handle missing data by: o Replacing missing values in the Age column with the average age . o Replacing missing values in the Weight column with the median weight . c) Normalize the Age , Height , and Weight columns using min-max scaling to bring all values between 0 and 1. d) Display the original dataset, th...