Daines Analytics provides IT consultation services and is the developer of the CODA (Contract Opportunities Decision Analytics) suite of data solutions. We designed CODA to help procurement/contracting officers in large government and business organizations find small/medium businesses who can offer goods/services that are an excellent match to the needs of the contracting organizations. By leveraging predictive analytics, automated infrastructure, and process design, CODA seeks to maximize the synergies while minimizing the risks of the contracting opportunities between two or more organizations.
(more…) Learn More
Daines Analytics
Predictive Analytics | Automated Infrastructure | Process Design
Analytics Solutions for Building Tomorrow’s Digital Capabilities
What We Do
Who We Are
David Lowe
Chief Technology Officer, Daines AnalyticsAnalytics Journal
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More
Continue ReadingAlgorithmic Trading Model for Mean-Reversion with Relative Strength Indicator Using Python Take 3
NOTE: This script is for learning purposes only and does not constitute a recommendation for buying or selling any stock mentioned in this script. SUMMARY: This project aims to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model examines a simple mean-reversion strategy for… Read More
Continue ReadingBinary-Class Image Classification Deep Learning Model for PatchCamelyon Grand Challenge Using TensorFlow Take 1
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More
Continue Reading