MLOps Projects | Shambhu Bhandari Sharma

House Price Prediction — End-to-End ML Pipeline

A complete supervised learning pipeline for predicting residential property prices. Covers data ingestion and cleaning, exploratory data analysis, feature engineering (encoding, scaling, outlier handling), training and comparing multiple regression models (Linear, Ridge, Lasso, Random Forest, XGBoost), hyperparameter tuning with cross-validation, and evaluation using RMSE and R². Structured as a reproducible, modular codebase following MLOps best practices.

Scikit-learn XGBoost Regression

Houseprice_prediction

End-to-end ML pipeline for residential property price prediction.

Cancer Metastasis Prediction — SLN Histopathology

Deep learning-based framework using PyTorch for the automated analysis of digitized histopathology slides. Detects metastases in sentinel lymph nodes (SLNs) to match expert sensitivity, reduce pathologist workload, and enhance breast cancer staging. Structured using the cookiecutter MLOps template.

Deep Learning Computer Vision MLOps

Cancer_detection

PyTorch framework for automated detection of metastases in SLN slides.

AI for Earth Observation (AI4EO)

Applications of advanced machine learning techniques to satellite datasets for Earth Observation. Features implementations of transformers, Gaussian processes, and deep learning models for satellite imagery segmentation and analysis, alongside automated deployment of these ML models on AWS.

Deep Learning Transformers Satellite Data

AI4EO_UCL

ML and deep learning models applied to satellite datasets.

⚙️ MLOps Projects