Automated‑ML automates training and evaluating machine learning models on tabular data with minimal setup.

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.

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

Predict whether a news article is real or fake.

Predict Student academic performancebased on demographic and school factors

Iris Flower Species Classification Dataset

Wine Quality Prediction Classification Dataset

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.

Classify customer churn (yes/no) from usage and account features (classification).

Classify wine quality from physicochemical properties

Neural Architecture Search using Differential Evolution

Classify emails as spam or not spam using NLP techniques

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

Test Final Improvements Classification

Titanic Machine Learning from Disaster Survival Prediction Dataset

Final Test Complete System

Predict customer churn based on purchase history

Predict if a bank customer will subscribe to a term deposit based on marketing campaign data

Test Gemini Fix Classification