input: Read data/analyzed.json
output: Pickle file
With the data now all processed, read in all of the data and use it to train the multi-variate linear regression model. Use some sort of feature selection to filter out useless variables / ensure that all variables are useful in constructing the model. Construct the model, see results, find ways to imporve, repeat. When done, construct a pickle file and write that file in data/model.p
Write code into mode/build_model.py
Write model into data/model.p
input: Read data/analyzed.json
output: Pickle file
With the data now all processed, read in all of the data and use it to train the multi-variate linear regression model. Use some sort of feature selection to filter out useless variables / ensure that all variables are useful in constructing the model. Construct the model, see results, find ways to imporve, repeat. When done, construct a pickle file and write that file in data/model.p
Write code into mode/build_model.py
Write model into data/model.p