nelscorrea
PyData Miami 2019
01/10/2019
Title: Weather and Electric Load Forecasting with Python Data Science Tools
Speaker: Nelson Correa, Ph.D.
@nelscorrea
Abstract:
This talk presents weather and electric load forecasting using Python data science and machine learning tools (NumPy, Pandas, Scikit-learn). Using weather data from NOAA for the U.S., Florida, and Miami, we build a data pipeline for data exploration, summarization, visualization, feature engineering, regression and classification, and finally scoring and evaluation of predictive models.
