GitHub - Ljfernando/TurnoverPrediction: Leveraged 92m data points from SF parking meters to predict parking turnover. Built features and trained a random forest model using SparkML and SparkSQL on an EMR cluster.

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Leveraged 92m data points from SF parking meters to predict parking turnover. Built features and trained a random forest model using SparkML and SparkSQL on an EMR cluster.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
spark-warehouse		spark-warehouse
Final_report.pdf		Final_report.pdf
Irving2200_1month.ipynb		Irving2200_1month.ipynb
Meter_Info_By_Block.ipynb		Meter_Info_By_Block.ipynb
config.txt		config.txt
final.ipynb		final.ipynb

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Leveraged 92m data points from SF parking meters to predict parking turnover. Built features and trained a random forest model using SparkML and SparkSQL on an EMR cluster.

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