Douglas Oliveira's repositories
Credit_Risk_Analysis
We'll use Python to build and evaluate several machine learning models to predict credit risk. Being able to predict credit risk with machine learning algorithms can help banks and financial institutions predict anomalies, reduce risk cases, monitor portfolios, and provide recommendations on what to do in cases of fraud.
Amazon_Vine_Analysis
Analyzed 50 datasets of Amazon reviews written by members of the paid Amazon Vine program. Implemented ETL using Amazon Web Services, PySpark and Postgres SQL.
bikesharing
Exploring Bike-Sharing Data with Tableau. Create Worksheets, dashboards, and stories from New York City bike-sharing data.
Cryptocurrencies
Use unsupervised Machine Learning techniques to analyze cryptocurrency data
Election_Analysis
Automating the results of an election using Python and Visual Studio Code
Mapping_Earthquakes
Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data form the U.S. Geological Survey
Movies-ETL
ETL (Extract, transform and load) is a essential process for a Data Analysis. In this project we will Create an ETL pipeline from raw data to a SQL database, extract data from disparate sources using Python and then clean and transform data using Pandas and load data with PostgreSQL
Plotly
Build an interactive dashboard using Plotly.js to explore data on the biodiversity of belly buttons and then deploy the dashboard to a cloud server
World_Weather_Analysis
Using Jupyter Notebook, Pandas Library, CityPy, Python, APIs and JSON Traversals, to get more than 500 random latitudes and longitudes and analyze weather data
DougUOT.Plotly.io
Plotly Project page on GitHub for deployment
Group_3_Final_Project
Group 3 Final Project - Data Science Bootcamp
Kickstarter-analysis
Performing analysis on Kickstarter data to uncover trends on Excel.
MechaCar_Statistical_Analysis
Learn how to use R and statistics in order to analyze vehicle data
Mission-to-Mars
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display the findings
Neural_Network_Charity_Analysis
Create a deep-learning neural network to analyze and classify the success of charitable donations.
Pewlett-Hackard-Analysis
Data Analysis using SQL, Data modelling and Data engineering
Pewlett-Hackard-Analysis2
Initial SQL exploration
PyBer_Analysis
Creating visualizations of rideshare data for PyBer to help improve access to ride-sharing services and determine affordability for underserved neighborhoods.
School_District_Analysis
Using Pandas and Jupyter Notebook
Stock-Analysis
Stock-Analysis using VBA
UFOs
Use JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world