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Stay ahead of trends and techniques in data analytics and AI-ML from our densely certified team of engineering leaders, including 4 AWS Ambassadors along with experts on every cloud and data platform.

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Infrastructure Setup with Terraform for BigQuery ML

Overview

This article covers the initial infrastructure setup for deploying a churn prediction model in Google Cloud Platform...

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End-to-End Deployment of Azure Serverless Web App Using Terraform

Deploying a serverless web app with Azure requires a seamless integration of static and dynamic components. Using Terraform, we can automate the...

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Model Evaluation and Tuning in SageMaker Canvas: Metrics, Confusion Matrix, and Fine-Tuning for Optimal Churn Prediction

Model evaluation and tuning are important steps in building an effective churn prediction model. SageMaker Canvas provides several metrics and tools, such...

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Data Pipeline Architecture for Churn Prediction: Automating Data Flow with AWS Services

Creating an automated data pipeline is required for handling the data flow in churn prediction for real time results. This pipeline automates the...

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Choosing the Right Algorithm: XGBoost vs. Multilayer Perceptron in SageMaker Canvas

In customer churn prediction, selecting the right algorithm is the only way to achieve a balance between accuracy, computational efficiency, and business...

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Custom Domain Setup with Route 53 for Azure CDN

Configuring a custom domain for my serverless web app adds a level of professionalism and branding. By combining AWS Route 53 for DNS management with...

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Building a Churn Prediction Model with SageMaker Canvas: Infrastructure and Deployment with Terraform

Predicting customer churn is important in many industries, including the telecom industry, for customer retention and business growth. This project...

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Configuring CORS for Secure Web Requests in Azure Serverless Apps

Cross-Origin Resource Sharing (CORS) is a critical security feature for web applications, especially when it comes to serverless architectures that expose...

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Creating and Deploying Azure Function App for Dynamic Backend

A serverless architecture is only complete with a dynamic backend capable of handling API requests and generating responses on demand. In this article,...

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