Automated end-to-end MLOps pipeline for predicting customer purchase likelihood of a wellness tourism package, enabling data-driven marketing through CI/CD-enabled model training and deployment.

[D] Why Causality Matters for Production ML: Moving Beyond Correlation

Spine surgery has massive decision variability. Retrospective ML won’t fix it. Curious if a workflow-native, outcome-driven approach could. [D]

Anomaly detection system for security risk identification in audit logs using Isolation Forest algorithm. Features automated CI/CD ML workflows with Azure DevOps for continuous model deployment and real-time alerting capabilities.

Neural Architecture Search using Differential Evolution

Predict customer churn based on purchase history

How to bootstrap (READ THIS) - I will not promote

My first startup failed after corporate life... still best decision I ever made (I will not promote)

A simple explanation of Naive Bayes Classification

Nvidia: End-to-End Test-Time Training for Long Context aka Being Able To Update A Model's Weights In Real-Time As You Use It | "TTT changes the paradigm from re