If you're just getting started in this area (machine learning), I'd advise you to look at simpler and more interpretable models first (things like logistic regr

If you're just getting started in this area (machine learning), I'd advise you to look at simpler and more interpretable models first (things like logistic regression, decision tree, perceptron) using simple tools (scikit-learn for instance). Something like Tensor Flow has a lot of mechanics you have to understand before getting started, and it's "lower-level" than other ML libraries. And I definitely wouldn't advise you to use "deep learning" as your first ML model. It's hard to understand, and the result of training it is hard to interpret.