Be pragmatic, not dogmatic
Rather than blindly follow your a 'successful' company, find ways to incorporate their successes into your organization. Be pragmatic, not dogmatic.
Text Analytics with Python – A book review
Text Analytics with Python by Dipanjan Sarkar provides an overview of how to use Python to perform text analytics / natural language processing.
Python and AWS Lambda – A match made in heaven
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.
Data Quality – The most important data dimension?
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.
Stock market forecasting with prophet
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 by Isaac Sacolick – a book review
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.
Forecasting Time Series data with Prophet – Trend Changepoints
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.
Forecasting Time Series data with Prophet – Part 3
This third installment of Forecasting time series data with prophet provides an example using holidays to try to improve the model.
Forecasting Time Series data with Prophet – Jupyter Notebook
An overview of using Prophet for forecasting time series data with a link to jupyter notebooks.
Technology can be a band-aid rather than a solution
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.
Forecasting Time-Series data with Prophet – Part 2
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 – overlaying charts in python
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 – Part 1
Forecasting time-series data with Prophet. Prophet is a fairly new library for python and R to help with forecasting time-series data.
Don't forget the "Science" in Data Science
Doing data science without 'science' is nothing more than throwing darts at a dart board and thinking the results are meaningful.
Who Owns Risk?
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,
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