Salary_Prediction_and_Analysis

• K-nearest neighbors (KNN) is a type of supervised learning algorithm used for both regression and classification.
• KNN tries to predict the correct class for the test data by calculating the distance between the test data and all the training points.
• Then select the K number of points which is closet to the test data.

Creator: Anandan Raju

Synopsis

1. Import Packages
2. Load Dataset
3. Summarize DataSet
4. Mapping Salary Data to Binary Value
5. Segregate Dataset into X & Y
6. Feature Selection
7. Splitting Dataset into Train & Test
8. Feature Scaling
9. Training
10. Prediction
11. Accuracy Score
12. Prediction Output