I chose Neural Networks as my second Machine Learning technique since it works well with integer or float values as an input. In addition, since I had huge numbers as inputs, it was better for me to normalize these numbers in which I did.
I followed the same cleaning procedures to my data with the same Target and Features as the previous articles and ran the Neural Networks algorithm and this was the result:
Again, Impressive Result. (using all of the data)
Decision Trees worked better because my data set the perfect scene for a decision tree. Decision trees work the best with numbers and categorical data hence why it outperformed the Neural Networks.
Cryptocurrency 