Yan Cotta (YanCotta)

YanCotta

User data from Github https://github.com/YanCotta

Location:Juiz de Fora, Brazil

GitHub:@YanCotta

Yan Cotta's repositories

ClimateRiskAssessmentTool

An advanced machine learning system that leverages ensemble methods and deep learning for comprehensive climate risk assessment and prediction. The tool combines multiple ML models with real-time weather data analysis to provide actionable insights for climate-related threats.

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DNASequenceAnalysisTool

A comprehensive Python tool for DNA sequence analysis that provides various molecular biology and bioinformatics functions.

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GeneExpressionAnalysisTool

A comprehensive Python tool for analyzing gene expression data with advanced bioinformatics capabilities.

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GeneticVariantAnalysisForDiseaseRiskPrediction

This script implements a bioinformatics pipeline for analyzing genetic variants and their association with disease risk. It combines population genetics principles with machine learning to identify disease-associated variants.

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AdvancedRAG

AdvancedRAG is a repository showcasing advanced Retrieval Augmented Generation (RAG) techniques.

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AgenticAIPortfolio

A portfolio showcasing my projects related to the engineering and deployment of AI-Agents and Multi-AI-Agents automation systems utilizing the CrewAI framework.

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AIProspectResearchSystem

An enterprise-grade solution for automated company research and analysis.

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CancerDiagnosisWithMLClassificationModels

A comprehensive analysis of breast cancer diagnostic data using advanced machine learning classification techniques, demonstrating the application of computational methods in medical diagnosis.

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invoice-automation-system

Developed an AI-driven invoice processing system for a stealth startup’s technical challenge. Features three variants: Streamlit (prototype), Next.js Main (production-ready), and Next.js Feature (scalable with SQLite/AWS S3). Reduced processing time by 75%.

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MachineLearningPortfolio

This repository showcases my growing expertise in machine learning and AI. It includes projects demonstrating core algorithms and techniques, such as regression, classification, clustering, NLP, Deep Learning, and others. Each project is accompanied by detailed documentation to highlight objectives, methodologies, and insights gained.

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YanCotta

My GitHub profile/homepage markdown

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