Salary Prediction Model

This video tutorial covers the process of building a machine learning model using multivariate regression to predict salaries for an HR department. It includes data exploration, cleaning, preparation, and feature engineering. The tutorial also demonstrates model training, evaluation, and prediction using Python libraries such as Pandas, sklearn, and joblib.

What is the significance of the linear relationship between the factors in the data set?

What is the role of the word2number module in the project?

Describe the process of saving and loading the trained model.

How does the model predict the salary for a candidate based on their experience and test scores?