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View Code? Open in Web Editor NEWNN models designed to analyze and predict stock market from any stock data given
License: Apache License 2.0
NN models designed to analyze and predict stock market from any stock data given
License: Apache License 2.0
You need to preprocess the data file (any kind, will be notified) which is basically a CSV file using Pandas. After segregating data, you'd need to show a bit of analysis using graphs. This can be done via matplotlib. Oh you'd need numpy too to select some data columns
The result would be the refined data with no gaps and preprocessed with labels
Our job is to find and implement a CNN-LSTM model with some novelty. The end result should be a working model with less error. Should be done using Tensorflow and Keras. Oh, for CNN we need to research if we need to use pre-trained models or create our own from scratch.
[CIS-2]
The main objective of this issue is to add a testing part in the project we're working on. Plus, we need some ways to do this as the work load here is too minimal and needs to be focused on
After testing, we need to find a way to add a deployment method for now...
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