Find the Kaggle competition with your cohort name, i.e. diamonds-datamad1021, https://www.kaggle.com/c/diamonds-datamad1021
Train a model (fit & predict) with the data in train.csv
. This file does contain a y.
train.csv
if necessary.2.1. Export the model: we don't want to invest time/RAM resources on training the model again in the future.
test.csv
. This files does NOT contain a y.text.csv
file. With this we'lñl generate a new column with the predicted values. submission.csv
file with only two columns: the ID of the diamond & the predicted price (y).Jupyter notebooks where you show the process you followed to get to your submissions.
A slide (.ppt, ipynb, etc) with a summary of the metrics you obtained and the rationale behind it.