Predicting with popular machine learning libraries in baseball. Winning teams, pennants, World series etc.
Brainstorm: Wanting to use some simple ideas, to get toward productivity and fun with machine learning + data science + sports (baseball) = FUN FUN FUN
Using tools in the cloud, Amazon AWS, Floydub etc. and i believe that most of these tools have free options so i will be using those first :):):):):) https://en.wikipedia.org/wiki/Amazon_Web_Services
Popular libraries in field: https://en.wikipedia.org/wiki/NumPy https://en.wikipedia.org/wiki/SciPy https://en.wikipedia.org/wiki/Pandas_(software) https://en.wikipedia.org/wiki/TensorFlow https://en.wikipedia.org/wiki/Scikit-learn https://en.wikipedia.org/wiki/PyTorch
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Would be the simple idea framework, SO: First find data, second find existing machine learning models (tune existing work, using cloud) on the web, google colab,github etc and third, maybe get some interesting results, or any results ---- :):):):) ----- regarding predictions....Who will win the next World series etc....