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xgboost-model

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An advanced ML trading dashboard for Nifty 50. JUDAH uses an automated XGBoost pipeline that grid-searches 360 combinations daily across 6 horizons. The live Streamlit engine fuses a 4-pillar probability ensemble to generate mathematically precise, high-conviction options strategies (Spreads/Strangles) and Strike recommendations.

  • Updated Aug 9, 2026
  • Python

AI powered retail intelligence platform for demand forecasting, inventory optimization, explainable AI, and automated business insights, built with React, FastAPI, Python, MySQL, Redis, Celery, and Docker.

  • Updated Aug 11, 2026
  • Python

Customer churn, or the loss of customers from a service, significantly impacts a company's revenue. This project aims to identify customers at risk of churning using Natural Language Processing (NLP) and Machine Learning (ML). By leveraging predictive analytics, telecom companies can take proactive steps to retain customers and minimize losses.

  • Updated Apr 7, 2025
  • Python

A python project which uses laptop webcam to detect hands by using mediapipe library and then perform some further processing to figgure out hand posture e.g. one, two or Left, Right, The postures are used to control different computer functions e.g desktop switch in windows or mouse control

  • Updated Apr 27, 2022
  • Python

This repository consists of 6 sections, detailing hands on Machine Learning Models: Regression, Classification, Clustering, AssocaitionRuleLearning, Deep Learning and Natural Language Processing Techniques

  • Updated May 10, 2020
  • Python

Anistroph - multi-domain predictive analytics architecture for temporal and non-temporal modeling, explainability, multidimensional evaluation, and MCP-based inference with Claude and AI agents.

  • Updated Aug 27, 2026
  • Python

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