# Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

## Markdown

This is a page not in th emain menu

## My Quick Reference Guide For A Few Natural Language Processing Techniques

Published:

Natural language processing (NLP) is a field of study dedicated to analyze of natural languages. In particular, using statistics and algorithms.

## Find Row Closest to a Value

Published:

In this gist, I find what is the closest row to a given value.

Published:

This gist contains my default settings for a Jupyter notebook as a header.

## Datetime Resample

Published:

In this gist, I calculate aggregate the datetime column according to different periods (e.g. day, week, and month)

## Cumulative Sum with Pandas

Published:

In this gist, I calculate the cumulative sum of the column no, based on the columns nameand day.

## Signing git commits with gpg

Published:

I found this post on how to sign commits with gpg on Medium, and I copied to my blog so I can keep for my records. Please, visit the original source at:

## Hypothesis Tests Part 2: Statistical Inference

Published:

In this post, I present an overview of statistical tests. The goal of calculating a test statistic is to decided if the null hypothesis is true. Once value of the test-statistic is obtained, it is compared with a pre-defined critical value. If the test statistic is found to be greater than the critical value, then hypothesis is rejected.

## Hypothesis Tests Part 1: Bayesian Inference

Published:

Every quantity that is estimated from data, such as the mean or the variance, is subject to uncertainties of the measurements due to data collection. If a different sample of measurements is collected, value fluctuations will certainly give rise to a different set of measurements, even if the experiments are performed under the same conditions. The use of different data samples to measure the same value results in a sampling distribution that characterize the quantity in consideration. This distribution is used to characterize the “true” value of the quantity in consideration. This blog post is dedicated to present how the collected data is employed to test hypotheses of the quantity being measured.

## Using Bayesian Modelling to Predict the Number of COVID19 in Brazil

Published:

Abstract. In this notebook, I use Bayesian modelling to predict the rate of growth of confirmed cases of COVID19 in Brasil.

Published:

Published:

# Some section

## Gists Test post

Published:

This is a description of your gists, note the different field in type. You can put anything in this field.

## Portfolio item number 1

Published:

Short description of portfolio item number 1

## Portfolio item number 2

Published:

Short description of portfolio item number 2

## Talk 1 on Relevant Topic in Your Field

Published:

This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Published:

Published:

## Conference Proceeding talk 3 on Relevant Topic in Your Field

Published:

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

## Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

## Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.