Comptetition link - https://www.kaggle.com/competitions/coms4771-spring-2022-regression-competition/leaderboard
| Username | vt2353 |
|---|---|
| Rank | 1/167 |
Large-scale regressor for predicting trip duration for an Uber-esque transportation service.
It uses a deep neural network to regress on features obtained post feature-selection for predicting trip duration in seconds.
The neural network minimizes L1 loss and uses Adam optimizer.
The training phase includes validating the model to find the best epoch based on validation loss.
cd CS4771-Spring-2022-Regression-Competition
conda env create -f environment.yml
conda activate dnn
pip install -e src/dnn
Including the optional -e flag will install package in "editable" mode, meaning that instead of copying the files into your virtual environment, a symlink will be created to the files where they are.
jupyter notebook notebooks/
You can now use the jupyter kernel dnn to run notebooks.