Dataset consists of five columns like Age, Gender, Movies, Hobbies, Music. The values are entered randomly using numpy's random function.
Age : It has ages of people between 20 to 30.
Gender : It has values like 0(F) and 1(M).
Movies, Hobbies, Music : It has values between 1 to 10. It signifies the interest and how a persin will rate oneself to spend the leisure time.
Before applying any algorithm, the data is scaled using StandardScaler(). After normalizing the data, K-Means clustering algorithm is applied. To decide how many clusters to be formed, elbow method is used. Atlast, visualization of cluster is done.
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