Here comes the final part of my end-to-end project in Data Science. If you have followed or read the previous two parts, you might have known what to expect in this article. But if you haven’t, do not hesitate to check them out: 1st part and 2nd part.
Here’s a summary of the entire structure of this project:
Part 1: Explanatory Data Analysis (EDA) & Data Visualisation (Bonus: Hypothesis Testing)
Part 2: Machine Learning with 4 Regression Models
Part 3: Machine Learning (cont.) with ARIMA
With the first part paving the foundation for the analysis with data cleaning and visualization and the second employing Regression models to fit all data points, this final part will utilize them all to predict the future (in this case, AUD/USD exchange rates in 2020). In order to achieve so, prerequisites and process should be taken into account:

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