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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...

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...

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...

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...

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,...

Deploying Static Content via Azure CDN with Storage Account Integration

Deploying static assets like HTML, CSS, and JavaScript files is a core part of serverless architecture, and Azure provides a powerful solution with its...

Monoliths Are Still Bad, Even In Terraform

Reusability in Infrastructure as Code This article reflects on the benefits and avoidable pitfalls of designing reusable Infrastructure as Code modules...

Insights

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

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

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

Custom Domain Setup with Route 53 for Azure CDN

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

Configuring CORS for Secure Web Requests in Azure Serverless Apps

Creating and Deploying Azure Function App for Dynamic Backend

Deploying Static Content via Azure CDN with Storage Account Integration

Monoliths Are Still Bad, Even In Terraform