Predicting Oil Prices With Machine Learning And Python

The complete guide on predicting the price of “black gold” with less than 0.3% error using Python and Machine Learning

What can be more rewarding for a data scientist than being able to predict market movements of any kind with their models? Well, one thing is certain… not many things. The markets are undoubtedly one of the most fascinating things one can get involved in. They can be considered an embodiment of the entire world. By observing the markets you learn everything about people, and most importantly this knowledge is provided in such a way where it is perfect for data scientists to put their hands on it. The main problem that tends to appear with markets, is that they are often unpredictable. The mathematical models might all show that the value of a certain commodity will go up and then something unpredictable happens (e.x. COVID-19) and everything changes.

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