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)

Neural Architecture Search using Differential Evolution

Wine Quality Prediction Classification Dataset

Classify wine quality from physicochemical properties

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

Predict Student academic performancebased on demographic and school factors

Classify emails as spam or not spam using NLP techniques

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

Predict whether a news article is real or fake.

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.

Iris Flower Species Classification Dataset

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

Boston Housing Price Prediction Regression Dataset

Test Gemini Fix Classification

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

Predict the survival of passengers on the Titanic based on passenger attributes such as age, sex, pa...

Automatic Debiased ML via Riesz Representers — continuous treatment elasticity, dose-response, selection correction, FCA reports