https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
https://github.com/serhatderya/tabular-playground-series
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: about 2 months ago
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This repository contains solutions of monthly Tabular Playground Series in Kaggle.
- Host: GitHub
- URL: https://github.com/serhatderya/tabular-playground-series
- Owner: SerhatDerya
- Created: 2022-03-11T09:44:09.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-11T09:47:45.000Z (almost 4 years ago)
- Last Synced: 2025-10-28T10:39:32.723Z (about 2 months ago)
- Topics: ai, artificial-intelligence, data, data-preprocessing, data-processing, data-science, data-visualization, jupyter-notebook, kaggle, machine-learning, numpy, pandas, python, regression, scikit-learn, scikitlearn-machine-learning, seaborn, software, statsmodels
- Language: Jupyter Notebook
- Homepage:
- Size: 108 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Tabular-Playground-Series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
## MARCH 22
For the March edition of the 2022 Tabular Playground Series you're
challenged to forecast twelve-hours of traffic flow in a U.S.
metropolis. The time series in this dataset are labelled with both
location coordinates and a direction of travel -- a combination of
features that will test your skill at spatio-temporal forecasting within a highly dynamic traffic network.