An automated-ML library that automates model training completely using simple APIs. Moreover, it provides curated data analysis modules for preprocessing, anomaly/outlier removal, sanity check(bias-variance tradeoffs), data splitter and explainability of model predictions with visualizations.

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

Dataset Auto-Diagnosis Python Library — detect and fix data quality issues (leakage, skewness, outliers, imbalance) before model training.

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)

Automated customer churn prediction pipeline with feature selection, model comparison, and deployment-ready output. Python + scikit-learn.

Classify wine quality from physicochemical properties

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.

Wine Quality Prediction Classification Dataset

Predict whether a news article is real or fake.

Upload any dataset, explore it, clean it, train 30+ ML models, compare results, and download a full PDF report — all in the browser.

Neural Architecture Search using Differential Evolution

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

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

Recommend products based on user behavior

Test Gemini Fix Classification

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

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

Classify SMS or email messages as spam or not spam using text content, word frequency, and message m...

Predict Student academic performancebased on demographic and school factors