Python-based bioinformatics toolkit for DNA sequence analysis using the BRCA1 reference sequence.
-
Updated
Jul 9, 2026 - Python
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
EDA of the global pharma industry (2010–2026): biotech funding, clinical trials, FDA approvals & financials, with visualizations and key insights.
A Python-based Smart Expense Manager for tracking, categorizing, and analyzing expenses with budget alerts and data visualization.
Estudo de caso técnico sobre análise de dados ambientais da Lagoa dos Patos com Python, pandas e Matplotlib.
Learning AI/ML/ANN/Regression/LogisticRegression
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.
Data analysis project using Python, Pandas, and Matplotlib to analyze Netflix content trends.
Proyecto de Mesa de Servicios TI utilizando Python, SQL Server y Power BI
Proyecto de análisis logístico con SQL Server, Python, Power BI y Machine Learning (K-Means).
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
Add a description, image, and links to the metplotlib topic page so that developers can more easily learn about it.
To associate your repository with the metplotlib topic, visit your repo's landing page and select "manage topics."