Supervised Learning - Classification Week 8 Challenge

Q.1:- Performed in ipynb file please find the attached file.

Q.2:-

Pros :

• No training period required hence also called as lazy learning algorithm
• Easy to implement
• Many new data can be added without any changes to the model

Cons :

• Does not work well with high dimensional data
• Feature scaling is required
• Sensitive to noisy data and outliers