A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
Optimizing an ML Pipeline in Azure - A Machine Learning Engineer Project
Data Science case for windmill power prediction based on weather. Based on Data Challenge of Air Liquide (@AirLiquide) and TotalEnergies(@total-sa, @Total-RD) companies in 2021. Real Data Science model was much more complicated to get 6 place. The link of the competition - https://datascience.total.com/fr/challenge/19/details#.
Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.
[Template] To Create MCPStack MCP Tools in ~5 command lines!
A production-grade Explainable AI (XAI) framework for Credit Risk Assessment. Uses LightGBM and SHAP to transform "black-box" loan default predictions into transparent, human-readable insights. High-performance FastAPI implementation designed for scalable financial risk modeling and real-time interpretability.
A Modular, Production-Style ML Pipeline with Class-Imbalance Handling
Analysis on effect of temperature, rainfall and pesticide on Global food crops yield along with Crop Yield prediction using scikit-learn ML algorithms. Interactive website for outcomes using HTML, Bootstrap, JS, CSS, d3 and so on.
Build custom vacab, Ham /Spam using tfidf , Movie review classification using TFIDF
End-to-end ML and MLOps pipeline for Diabetes Prediction including model training, FastAPI API serving, Docker containerization, and production-ready deployment workflow
Code repository for "MyeVAE: A multi-omics variational autoencoder for predicting mortality in newly diagnosed myeloma patients"
This Repo contains the Mini-Projects I've made while self-learning Data Science.
Apprenticeship project with Indian Institute of Science. Objectives were to Model tumor and immune cell interaction in the presence of MMP & TIMP by varying their diffusion rates and check the effect of MMP8 on these interactions. These simulations provides insights into how ECM remodelling shapes cancer progression.
Multi-omics integration for the classification of functional high risk patients in multiple myeloma.
Laptop Cost Evaluator A fast, user-friendly web tool that predicts the market price of a laptop based on key specs like brand, processor, RAM, and storage. Just enter the details on a sleek, single-page form, and get an instant price estimate thanks to a smart backend powered by machine learning.
Unsupervised ML project segmenting mall customers into 6 behavior-based groups using StandardScaler, PCA, and K-Means — with business recommendations derived from each segment.
Machine Learning platform for RNA-Seq cancer classification with interactive analytics and Streamlit.
Unsupervised ML | Data cleaning → Imputation → Log transform → K-Means clustering → Streamlit dashboard. Deployed on Streamlit Cloud.
Stroke risk prediction using Random Forest, XGBoost, SVM & Logistic Regression with SMOTE for class imbalance
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