Insights
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.
Hyperparameter Tuning and Model Optimization
Overview
Hyperparameter tuning is a critical step in machine learning, as it fine-tunes the model to achieve optimal performance. By adjusting...
Read more
Building the Churn Prediction Model with BigQuery ML
Overview
Predicting customer churn is important in every industry, as it helps companies proactively retain customers at risk of leaving. For...
Read more
Loading and Preparing Customer Data for BigQuery ML
Overview
Data preparation is a foundational step in any machine learning project, impacting both model performance and interpretability. Properly...
Read moreVisualizing Churn Predictions in AWS QuickSight: Building Dashboards for Business Insights
AWS QuickSight provides an intuitive platform for visualizing churn prediction results generated by SageMaker Canvas. By building custom dashboards,...
Read moreInfrastructure Setup with Terraform for BigQuery ML
Overview
This article covers the initial infrastructure setup for deploying a churn prediction model in Google Cloud Platform...
Read moreEnd-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...
Read moreModel 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...
Read moreData 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...
Read moreChoosing 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...
Read more