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ad-hoc-analysis

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sharmaroshan / Web-Logging-Data

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This is a dataset related to web logging with attributes such hit rate, visit date, exit rate, bounce rate, no. of imp. pages etc, A lot of Data Mining Technologies can be applied to extract better information out of it, I have applied clustering and classification and also created the report that is the model explanation is very important in te…

python machine-learning data-mining big-data clustering data-visualization seaborn data-analysis k-means-clustering web-logging ad-hoc-analysis
  • Updated Jun 8, 2019
  • Jupyter Notebook

Vaishnokmr / New-York-City-Taxi-Demand-Supply-Forecasting

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Machine Learning involves using historical data and predictive modeling techniques to forecast the future demand for cab rides and the corresponding supply of cabs needed to meet that demand. This can help transportation companies optimize their fleet management and improve customer satisfaction.

data-science machine-learning time-series analytics insights problem-solving tableau time-series-analysis business-analytics ad-hoc-analysis
  • Updated Feb 8, 2023
  • Jupyter Notebook

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