Commit aa0562fe authored by Joaquin Torres's avatar Joaquin Torres

Update README.md

parent 162cfed7
...@@ -20,7 +20,7 @@ This repository is organized as follows: ...@@ -20,7 +20,7 @@ This repository is organized as follows:
* [output](./EDA/output): Plots about feature distributions, correlations and importance. * [output](./EDA/output): Plots about feature distributions, correlations and importance.
* [EDA.ipynb](./EDA/EDA.ipynb): Exploring and filtering data, handling missing values, encoding variables, building the final pre- and post- pandemic datasets, and generating plots for feature distributions, correlations and importance. * [EDA.ipynb](./EDA/EDA.ipynb): Exploring and filtering data, handling missing values, encoding variables, building the final pre- and post- pandemic datasets, and generating plots for feature distributions, correlations and importance.
* [gen_train_data](./gen_train_data): * [gen_train_data](./gen_train_data):
* [gen_train_data.ipynb](./gen_train_data/gen_train_data.ipynb): Generating training and testing datasets. * [gen_train_data.ipynb](./gen_train_data/gen_train_data.ipynb): Generating training and testing datasets for each of the pipelines.
* [model_selection](./model_selection): * [model_selection](./model_selection):
* [hyperparam_tuning.py](./model_selection/hyperparam_tuning.py): Tuning models through a random search of hyperparameters. * [hyperparam_tuning.py](./model_selection/hyperparam_tuning.py): Tuning models through a random search of hyperparameters.
* [cv_metric_gen.py](./model_selection/cv_metric_gen.py): Generating cross-validation metrics and plots for each of the tuned models. * [cv_metric_gen.py](./model_selection/cv_metric_gen.py): Generating cross-validation metrics and plots for each of the tuned models.
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