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jayeshmanani / Decision-Tree-Classifier-using-scikit-learn

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In this notebook, we will use scikit-learn to perform a decision tree based classification of weather data. The file daily_weather.csv is a comma-separated file that contains weather data. This data comes from a weather station located in San Diego, California. The weather station is equipped with sensors that capture weather-related measurements such as air temperature, air pressure, and relative humidity. Data was collected for a period of three years, from September 2011 to September 2014, to ensure that sufficient data for different seasons and weather conditions is captured. Let's now check all the columns in the data.

machine-learning scikit-learn machine-learning-algorithms artificial-intelligence season weather-data decision-tree decision-tree-classifier artificial-intelligence-algorithms
  • Updated Oct 12, 2018
  • Jupyter Notebook

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