Using Python and AWS Lambda, I've been able to offload a number of python scripts (set up as API endpoints on AWS) to allow more flexibility and save money.
Many organizations are jumping on the big data bandwagon (rightfully so). A good portion of them aren't thinking about data quality before data analytics.
In this article I look at stock market forecasting with prophet and compare a few errors measures to see how well prophet can forecast the market.
Driving Digital is one of the best books I've read on digital transformation. Rather than talk in theory, Isaac provides a game-plan for driving digital.
Prophet does a very good job of detecting trend changepoints. In this post, I provide an example where I look at the capabilities of Prophet.
This third installment of Forecasting time series data with prophet provides an example using holidays to try to improve the model.
An overview of using Prophet for forecasting time series data with a link to jupyter notebooks.
I do love technology, but not as much as I love solving the real problem(s) that my clients have rather than just covering those problems up with band-aids.
In this article, I provide a few tips to make a bit more realistic and useful visualizations from Facebook's Prophet for forecasting time-series library.
Visualizing data is vital to analyzing data. If you can't see your data - and see it in multiple ways - you'll have a hard time analyzing that data
Forecasting time-series data with Prophet. Prophet is a fairly new library for python and R to help with forecasting time-series data.
Doing data science without 'science' is nothing more than throwing darts at a dart board and thinking the results are meaningful.
This is a guest post from Christine Sato Proper risk management is vital to any project manager. Any big project is sure to have a great deal of risk,
This is a multi-bracket, slow shutter capture of Cascade Creek near Durango CO. Captured with Canon 5DsR and Canon 16-35 f/4 L.
A 'rockstar' on paper means little of that person isn't able or willing to get the job done.
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One idea per issue. No spam. Written by someone who's been doing this for three decades.