Created a model using Decision Trees and Naive Bayes to: Train the model Make predictions Evaluate and improve the machine learning model Further functions done: Importation of data Cleaning data Splitting the data into train and test data Importing the models. Displaying the decision tree model Generated Decision Tree Code available upon request.

Key Learning Outcomes: Use of BokehJS to visualize my extracted data Define a Function that Makes a Dashboard Create a dataframe that contains the GDP data and display it Create a dataframe that contains the unemployment data and display it Display a dataframe where unemployment was greater than 8.5% Use the function make_dashboard to make a dashboard Use of IBM Watson Cloud Save the dashboard on IBM cloud and display it Code available upon request.