Matheus Felipe dos Anjos (anjosma)

anjosma

Geek Repo

Company:@quintoandar

Location:São Paulo, SP, Brazil

Home Page:https://www.linkedin.com/in/matheus-anjos/

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Matheus Felipe dos Anjos's repositories

sentiment-analysis_brazil-elections-2018

An approach using deep learning to sentiment analysis for presidential Brazilian elections in 2018.

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bovespa_extractor

Project which aims to extract historical data of companies in Brazilian stock market (Bovespa)

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introduction_portfolio_construction

Introduction to Portfolio Construction and Analysis with Python is one of the four courses which is part of Investment Management with Python and Machine Learning in Coursera

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bovespa_dashboard

Project which aims to visualize stocks information extracted and loaded from project "bovespa_extractor"

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keylogger

Keylogger project for subject of Information Security of the specialization in Data Science at FHO Uniararas University

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udacity_data_engineering_capstone_project

Capstone project from Udacity Nanodegree in Data Engineering.

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udacity_data_lake_with_spark

Fourth project from Udacity Nanodegree in Data Engineering to create and modeling a Data Lake with Spark

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udacity_data_pipelines_with_airflow

Fifth project from Udacity Nanodegree in Data Engineering to create and automate Data Pipelines using Apache Airflow

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mlflow_experiments

My firsts steps using MLFlow library to develop an end-to-end machine learning pipeline

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ranger

Mirror of Apache Ranger

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rent_price_brazil

My first exploratory analysis coding in R using Jupyter Notebook on a brazilian rent price dataset found in Kaggle.

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spark-metrics

Spark metrics related custom classes and sinks (e.g. Prometheus)

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udacity_data_modeling_with_apache_cassandra

Second project from Udacity Nanodegree in Data Engineering to modeling data with Apache Cassandra

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udacity_data_modeling_with_postgres

First project from Udacity Nanodegree in Data Engineering to modeling data with Postgres

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udacity_data_warehouse_with_redshift

Third project from Udacity Nanodegree in Data Engineering to create and modeling a Data Warehouse

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