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  1. Time series regression models using ARIMA, SARIMAX, and Recursive Neural Network to predict day-ahead and hour-ahead California wholesale electricity prices. Features include demand forecasts, NOAA…

    Jupyter Notebook 4 4

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    # TO SAVE ANY OBJECT (source_object_name) AS A PICKLE FILE...
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  3. Data cleaning and EDA heavy project to infer real estate prices in Ames, Iowa based on County database

    Jupyter Notebook

  4. Fetches hourly day-ahead prices for any user-specified California ISO price node(s), for a user-specified date-range.

    Python

  5. Train Naive-Bayes and Logistic Classification models to accurately classify news articles as "Disaster-related" or not in order to quickly alert FEMA staff about newly emerging disaster conditions

    Jupyter Notebook

  6. NLP pre-processing and vectorization plus comparison of ten classification models to best differentiate between "Science Fiction or Star Wars" Subreddit posts from "Physics or Astronomy" posts

    Jupyter Notebook

62 contributions in the last year

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Contribution activity

March - April 2020

manukalia has no activity yet for this period.

February 2020

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