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Final project for the Computer Science class at the Marine Academy of Technology and Environmental Science (MATES).

This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.

Generate investing insight by applying sentiment analysis on financial news headlines.

A collection of visualizations using Python or R. For training and reference purpose

User behavior analysis using Self Organizing Maps

Final project for the Data Science class at the Marine Academy of Technology and Environmental Science (MATES).

Construindo visualizações de dados usando a linguagem de programação Python e a biblioteca Pyplot.

Visualizations generated using matplotlib, pyplot from CSV and JSON files as well as directly from APIs.

[Python] Machine Learning models to predict the diabetes status of individuals in the United States

Tech Challenges Administered by CapTech

Python Crash Course code

Data Processing (5062DAPR6Y), 2018/2019, 1, Period 2

Particle size distribution graph plotting (using sieve analysis lab data)

código, datos y visualizaciones

Mapa Coroplético das mortes por Covid-19 no Brasil entre 2020-2021 (Dados 28/07/2021).

Look up and plot geologic time scale

A statistical learning analysis of some Portuguese students performance. Python 3.7.6. Dataset : http://archive.ics.uci.edu/ml/datasets/Student+Performance

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."