Interactive ML Demos & Systems
A gallery of production-grade machine learning applications.
Explore production-grade machine learning applications. Master ML lineage, AWS failover, and loss function regression through interactive simulations and demos.
Serverless Dynamic Pricing: PyTorch & LightGBM on AWS Lambda
A machine learning system to providing an intelligence hub for mid-size online retailers. The system combines multiple microservices; The first component serves an optimal price point for a given product leveraging sales prediction that Deep Learning Network, LightGBM, and Elastic Net served. Uses PyTorch and LightGBM to estimate demand elasticity and maximize retail revenue.
HPO via Bayesian Optimization
Multi-model failover (LightGBM, SVR, Elastic Net)
Automated ML Lineage with DVC & Prefect
CI/CD Integration with Snyk security gates
Low-latency caching with ElastiCache Redis
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SVD Image Compression & PCA Deep Dive
Explore the mechanics of Singular Value Decomposition (SVD) and its application in Principal Component Analysis (PCA). Features interactive image compression simulations and a comparison of PCA methods like Incremental, Randomized, and Kernel PCA.
Interactive SVD Rank Adjustment
Step-by-step Mathematical Derivation of PCA
Comparison of 5 PCA methods (Incremental, Kernel, etc.)
Real-world Telecom Churn Data Simulation
Low-Rank Approximation Visualizations
Visualizing Regression: From Loss Functions to Generalization Bounds
Explore core machine learning regression concepts including MSE, MAE, L1/L2 regularization, and generalization bounds. Features interactive explorers for loss functions and model complexity.
Interactive Loss Function Explorer (MSE, MAE)
Regularization Strength (λ) Simulator
Comparison of Parametric vs Non-parametric models
Generalization Bound Mathematical Analysis
Real-world Regression Scenarios & MSE Results
Looking for Solutions?
- Deploying ML Systems 👉 Book a briefing session
- Hiring an ML Engineer 👉 Drop an email
- Learn by Doing 👉 Enroll AI Engineering Masterclass