Python-based bioinformatics toolkit for DNA sequence analysis using the BRCA1 reference sequence.
This is a sophisticated app designed to analyze financial datasets and uncover market trends. Leveraging powerful tools like Python, Pandas, and Scikit-learn, this app offers deep insights into stock performance, helping investors and analysts make informed decisions. Explore data-driven strategies and stay ahead in the financial market.
This is Python library repo such as numpy, panda , metplotlib etc
End-to-end Python analytics of the Olist Brazilian e-commerce marketplace, covering data integration, revenue trends, customer behavior, product and seller performance, payments, reviews, and geographic insights.
EDA of the global pharma industry (2010–2026): biotech funding, clinical trials, FDA approvals & financials, with visualizations and key insights.
Python-based IPL 2026 Data Analytics project using Pandas and Matplotlib with statistical analysis and data visualization.
A Python-based Smart Expense Manager for tracking, categorizing, and analyzing expenses with budget alerts and data visualization.
Proyecto de Business Intelligence y People Analytics desarrollado con SQL Server, Python, Power BI y Machine Learning para analizar indicadores de talento humano, desempeño, capacitación, ausentismo y segmentación de empleados.
Learning AI/ML/ANN/Regression/LogisticRegression
Data analysis project using Python, Pandas, and Matplotlib to analyze Netflix content trends.
Estudo de caso técnico sobre análise de dados ambientais da Lagoa dos Patos com Python, pandas e Matplotlib.
Proyecto de Mesa de Servicios TI utilizando Python, SQL Server y Power BI
AI-Powered SOC Log Analyzer with Flask Dashboard, Brute-Force Detection, AI Incident Summaries, and Automated Security Reports.
Machine Learning project to predict house prices using Python and Scikit-learn.
Autonomous Data Science Co-Pilot A Streamlit data-analysis agent for non-technical users. Upload CSV, Excel, or JSON data, ask a question in plain English, and receive a data profile, an evidence-based insight summary, and a professional chart. The agent writes Pandas/Matplotlib code, runs it through a guarded executor, retrieves relevant official
Proyecto de análisis logístico con SQL Server, Python, Power BI y Machine Learning (K-Means).
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