Determine the salary of a developer.

We do this by exploring the following:

• Since we want to make a salary prediction, we will try two models, Linear Regression model and a lasso regression model

• Since our data contains 4 no numerical columns, we use OneHotEncoder function from sklean libriary

  • OneHotEncoder converts categorical columns to nemerical columns by getting their dummpy values.
  • I choose OneHotEncoder over get dummies because it can easily be added to my pipeline

• Next we use a train test split to separate our data into the test set and the training set

• Final we use a Pipline with cross validation te decide between the Lasso Regression and the linear regression model

• Save model and build functions to make a future calculation

Link to App

Link to Github Repository

Link to Blog post