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foot-traffic

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SharathSPhD / coffee_causality

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Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.

visualization python open-source github-pages machine-learning statistics correlation time-series storytelling jupyter-notebook regression forecasting data-analysis causal-inference business-analytics foot-traffic weather-analysis retail-analytics
  • Updated Feb 7, 2025
  • Jupyter Notebook

igopalakrishna / nyc-subway-foot-traffic-prediction-and-forecasting

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Designed and implemented a scalable real-time analytics pipeline using Apache Kafka, Spark Structured Streaming, and MongoDB to simulate NYC MTA turnstile data and forecast real-time subway foot traffic using SparkML Random Forest models.

python bash machine-learning big-data apache-spark mongodb random-forest sparkml prediction pyspark apache-kafka data-pipeline streaming-data structured-streaming spark-sql real-time-streaming time-series-forecasting foot-traffic nyc-mta
  • Updated May 5, 2025
  • Jupyter Notebook

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