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!).

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