Inspiration

Predicting stock prices

What it does

Predicts stock prices

How we built it

Using Python libraries such as Keras, Pandas and NumPy. We implemented an RNN LSTM Model with three hidden layers.

Challenges we ran into

Figuring out the input shapes to the LSTM layer. Preprocessing and handling 40GB worth of data.

Accomplishments that we're proud of

Figuring out the input shapes to the LSTM layer. Preprocessing and handling 40GB worth of data.

What we learned

Handing large amounts of data and implementing deep learning model

What's next for Algothon_Pandas

Get involved in more data science projects.

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