Inspiration
What it does
My goal was to make a simple neural network that takes news sentiment data as the x variable and predicts company stock price as the y variable.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
Learned more about: Overfitting. Splitting data between train, validation, test. Different types of ML algorithms: linear regression, K-closest neighbour, decision tree. What TensorFlow is.
What's next for Algothon 2018
Read up on the Tensorflow and read http://neuralnetworksanddeeplearning.com/. Maybe when I have a foundation in ML I'll come back to this and finish it (I don't know if I'll have access to Quandl data though!).
