JavaScript – Machine Learning – Linear Regression – Attempt to fix dataset 3…not so good.

Git Hub Code After yesterday’s blog post, I pondered the issue of why my implementation of Dr. Ng’s algorithm performed so poorly on the home price dataset.  So, I started debugging line by line and noticed that the B1 value was still descending as it moved through the method that finds lowest B0B1 values.  The… Continue reading JavaScript – Machine Learning – Linear Regression – Attempt to fix dataset 3…not so good.

JavaScript – Machine Learning – Linear Regression – Another Algorithm with Same DataSets

Git Hub Code In this blog post (reference #3), I stated that I had been pointed to Andrew Ng’s free Coursera course on Machine Learning.  The first machine learning algorithm it covers is Linear Regression.  Even though Professor Ng is an excellent teacher, I did not immediately understand the subtle nuances of the single variable… Continue reading JavaScript – Machine Learning – Linear Regression – Another Algorithm with Same DataSets

TGIMBA is getting automated – Deployed Website Verification Method Added

Git Hub Code Its not perfect, but I was able to add a https library (reference #1) and have it call the https://www.tgimba.com site after the deploy is complete.  When the code pipeline is run, this is the log entry after the site is deployed and the verification code is called. It is completed in… Continue reading TGIMBA is getting automated – Deployed Website Verification Method Added

TGIMBA is getting automated – AWS Continous Integration Pipeline for .NET Website

Git Hub Code The second of three Continuous Integration (CI) pipelines has been completed for TGIMBA 🙂     The first was the TypeScript Node JS Application Programmatic Interface (API) I plan to replace the current .NET 4.6X Windows Communication Foundation (WCF) service with.  With .NET core in more use everyday, TGIMBA needs to leave its… Continue reading TGIMBA is getting automated – AWS Continous Integration Pipeline for .NET Website

JavaScript – Machine Learning – Linear Regression – Visual Results

Git Hub Code To follow up on my last two blog posts, I was able to use some Google JavaScript Charts to give a visual on the results.  I was concerned at first that the housing example data set from Professor Andrew Ng’s Machine Learning class (reference #4) had some questionable results using my JavaScript… Continue reading JavaScript – Machine Learning – Linear Regression – Visual Results

JavaScript – Machine Learning – Linear Regression w/2 new datasets…how did we do?

Git Hub Code Ok, I added two data sets from Professor Andrew Ng’s course (see references) and the results are good…I think.  The first dataset is a simple and the results were as expected: The second data set was more complex and is the one Professor Ng uses in his class.  The results were not… Continue reading JavaScript – Machine Learning – Linear Regression w/2 new datasets…how did we do?

JavaScript – Machine Learning – Linear Regression

Git Hub Code So many topics, so little time.  I had intended to focus only on setting AWS code pipelines for each component of TGIMBA.  However, as with many things in life, you need to take advantage of opportunities when they present themselves.  One such opportunity presented itself to me in the form of a… Continue reading JavaScript – Machine Learning – Linear Regression