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.
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Daines Analytics
Predictive Analytics | Automated Infrastructure | Process Design
Analytics Solutions for Building Tomorrow’s Digital Capabilities
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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: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Avila Bible Identification dataset is a multi-class modeling situation where we attempt to predict one of… Read More
Continue ReadingBinary-Class Tabular Classification Model for Raisin Grains Identification Using Python and TensorFlow
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Raisin Grains Identification dataset is a binary-class modeling situation where we attempt to predict one of… Read More
Continue ReadingBinary-Class Tabular Classification Model for Raisin Grains Identification Using Python and XGBoost
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Raisin Grains Identification dataset is a binary-class modeling situation where we attempt to predict one of… Read More
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