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foreclosure_webscraper Public
Webscrapes a the Jefferson County CO foreclosures ASP.NET form using Selenium.
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This tutorial provides a background on pulling different financial time series using the Quandl and Alpha Vantage API's.
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This code covers the seasonal ARIMA model, where a SARIMA model is generated, tuned, and forecast using test data.
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mann_whitney_comparison Public
This code provides an example where two distributions are compared using the Mann-Whitney U Test.
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This script pulls the gasoline price time series (from the EIA), and performs unsupervised time series anomaly detection using a variety of techniques. Techniques include SESD algorithm, One Class …
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change_point_detection Public
Examples of online and offline changepoint detection using the ruptures and changefinder packages
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This script uses hourly electricity demand data to build a machine learning model that estimates peak hourly demand on a daily basis.
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This project pulls electricity price data from the EIA API, and then performs time series analysis on it, including time series decomposition and vector autoregression for forecasting.
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analyze_fracfocus_data Public
This repo contains Python script that is used to pull and analyze FracFocus data for completions and vendor insights.
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This script is an example script for pulling data from the EPA's Envirofacts database. In it, data from the greenhouse gas emissions database is pulled via the API and assembled into a master panda…
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This Python script uses webscraped Bakken data to generate automated exponential and hyperbolic decline curves for production forecasting for individual wells.
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This script is an example script for pulling data via the EIA API
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This script automates web scraping the North Dakota Oil & Gas Division website, collecting monthly oil and gas data and pulling into a master dataframe that can be used for data analysis.
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This script automates pulls from the online FracFocus database into a Python pandas dataframes, and writes to a csv.
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batch_mode_script_automation Public
This repo shows how to automate both Python and SQL scripts in batch mode
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