Project K-Nearest Neighbors (KNN) Classification

Overview

A K-Nearest Neighbors (KNN) Classification model is built using Python and Scikit-learn to predict the Order Status of customer orders.

Dataset

The dataset contains 1200 customer order records with features such as:

• Product
• Quantity
• Unit Price
• Payment Method
• Coupon Code
• Referral Source
• Items in Cart
• Total Price

Steps Performed

• Load Dataset
• Handle Missing Values
• Convert Date into Year, Month, Day
• Label Encoding
• Feature Selection
• Train-Test Split
• KNN Model Training
• Prediction
• Accuracy Evaluation
• Classification Report
• Confusion Matrix

Technologies Used

• Python
• Pandas
• Scikit-learn
• NumPy
• Matplotlib

Machine Learning Algorithm

• K-Nearest Neighbors (KNN)

Author

Saliha Bibi