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Este repositório está sendo utilizado pela equipe de analistas e cientistas de dados do projeto. As análises estão sendo conduzidas principalmente através de Jupyter Notebooks, com a geração de insights por meio de gráficos. Os arquivos CSV tratados estão disponíveis para referência.
World Health Organization (WHO) crude suicide rates per 100,000 by demographics. Data profiling and statistical tests contained in the Jupyter Lab notebook. Data visualization using Power BI. Data taken from the WHO (https://www.who.int/data/gho/data/themes/mental-health/suicide-rates)
Analysis of school district data, such as school budgets and student performance, to uncover trends and draw conclusions. In this analysis I used Python, Jupyter notebook, pandas, numpy, csv_format.
This repository contains Notebooks, Data Sets, and Databases used in the "Data Science Basics" Workshop Series with the Rutgers University Library Systems
This repository contains the Python code for implementing facial recognition in Jupyter Notebook using both Machine Learning classification algorithms and neural networks. It also contains a CSV of facial data for classifying faces using the Python code. Feel free to copy the files and start recognizing faces!