Unsupervised Learning - Kmeans Week 11 Challenge

1. How does similarity is calculated if data is categorical in nature?

A. We have to convert the categorical features into numerical features using vectorization. then we can use this vectorization as numerical feature and check for the similarity

Different vectorization techniques are:
1. Bag of Words(BOW)

2. Binary BOW

3. TF-IDF

4. Avg Word2Vec

5. TF-IDF weighted Word2Vec

2. Implement K-means for “Car dataset” and come up with the business insights

A. Attached a file