Back to all projects
Machine Learning

Salary Estimation

Estimating salary levels using the K-Nearest Neighbors (KNN) algorithm.

View on GitHub
Salary Estimation screenshot

Project Overview

Using proximity-based classification to estimate salary brackets for employees based on age and experience.

Technologies Used

PythonKNNScikit-learn

Methodology

  1. 1Data cleaning and normalization.
  2. 2Finding the optimal K-value.
  3. 3Applying the KNN classifier.
  4. 4Metric evaluation for accuracy.

More in Machine Learning

Advertisement Sale Prediction

Predicting if an existing customer will buy a product using Logistic Regression.

Titanic Survival Prediction

Predicting passenger survival using the Naive Bayes algorithm.

Leaf Species Detection

Classifying leaf images using Decision Tree algorithms.