This Getting Started Tutorial systematically demonstrates the typical ML work process step-by-step using the powerful and performant Support Vector Classifier (SVC) and the beginner-friendly Iris Dataset. Furthermore, the selection of the correct SVC kernel and its parameters are described and their effects on the classification result are shown.

The Salary Prediction App forecasts employee salaries based on years at the company, satisfaction level, and monthly hours worked. It uses a cleaned dataset and applies machine learning models like Linear Regression, Support Vector Regression, and Random Forest Regressor, with hyperparameter tuning done via GridSearchCV for improved accuracy.