A study about time series

Using time series to forescast bitcoin prices. [python]

Create a Big Data Ecosystem on AWS

How to create a Hadoop Ecosystem (Dataproc) Ecosystem on Google Cloud and send a workload.

Notes from the course I want to have to consult later. [bash]

Exploration and Machine Learning Models to predict churn using Telecom Churn Dataset from Kaggle. [python]

Some COVID-19 data time series exploration and projections with ARIMA & Prophet. [python]

It is showed how to preprocess a complex dataset with a high number of missing values. Code for One hot encoding, feature engineering & adjustment of a Logistic Regression Model to predict survival to cancer. [R]

Project of the course Analysing Data with Pandas [python]

This file contains my annotations of a Docker course I took. [bash] [docker]

This exercise had as a goal to use Convolutional Neural Networks in order to identify the animals in the pictures. It was used PyTorch and Tensorflow. [python]

XGboost and LightGBM models to predict if a click will result in a app download or not. [R]

Exercise to practice clustering method of machine learning. [python]

Multi-class classification exercise with wine dataset. [python]

Train of Random Forest and Gradient Boosting to solve a regression problem that was predict house prices. [python]

An exploratory data analysis of the flights data set done in the Microsoft Online Course. [python]

Useful notes I did in some Git courses I attended. [git]

Examples of command applications to explore bioinformatic files. [bash]

This is the first part of a Linux Tutorial for Bioinformatics. It starts showing how to use very basic Linux commands. [bash]

A tutorial for performing Sentiment Analysis with data from tweets. In this example, the theme is "vaccines". [R]

This is a report about how to map COVID-19 deaths. It uses a dataset from Brasil.io. [R]

This tutorial describes how to create a co-expression network using WGCNA. [R]