React and Electron multi-window Setup 💻

Getting started with Electron and React is not easy stuff, that is the reason most people use some Starter or Boilerplate repo, and That is completely fine. But with React + Electron, most of these boilerplates are missing the configuration for setting up multiple windows routing with react.

2020 Elections in Brazil: An Analysis of Candidate Distribution

Are Brazilians fairly represented when it comes to their political candidates? This is a simple EDA (Exploratory Data Analysis) on candidates for the 2020 election in Brazil, which elects Mayors and City Councillors.

How we use Data Science to unfold Ad strategies of Biden and Trump with Illuminating?

How we use Data Science to unfold Ad strategies of Biden and Trump with Illuminating? This blog goes through our method of digging the ad strategies of Joe Biden and Donald Trump with best-in-industry ML and data science.

How a Blockchain Based System Can Help on Election Reliability

This article aims to suggest an alternative to the existing electronic voting system. Fraud cases and dubious electoral processes are recurrent in the recent history of elections. According to a survey, three out of five respondents believe that cyberattacks can manipulate elections in their countries soon. Although experts claim that the electronic voting system is the aptest to promote a safe election, the lack of confidence in the current system puts at risk the legitimacy of the winning candidate.

How Possible Is It Now to Predict US Elections With Data Analysis?

The expected impact of data analytics on elections. Presidential elections in the United States are among the most talked about in the world. It is unquestionable that analysts will play an important role in the upcoming election, as do the data watchers team, which played an effective role in Obama’s election as president in 2008.

Are Tweet sentiments reflective of the results

Using VADER and BERT, I analyse the sentiments of Tweets pertaining to Singapore’s ruling party in the run-up to the 2020 General Elections.

US Presidential Voices Over the Ages

Analyzing the message, sentiment, & sophistication of words in presidential history using Natural Language Processing & Topic Modeling.

Belarus situation, and how A.I can help

If you been following my youtube channel, I’m developing an Artificial Intelligence to help and generate an Immigration framework that…

Find Face, Replace. Deepfakes and Politics.

The rise of deepfakes sees the spread of realistic, however fabricated, videos. These advancements seem to have made it nearly impossible to distinguish a real video from a manipulation; seeing is no longer believing.

What Standing for (and Losing) an Election Taught Me About Personal Branding

They say that you should do something every day that scares you. And, it makes sense right? We grow through the discomfort. And of course, I’m sure whoever wrote this quote meant controlled fear (don’t jump into that snake pit just yet).

Election Cybersecurity: Preparing for the 2020 U.S. Elections.

At Cloudflare, our mission is to help build a better Internet. As we look to the upcoming 2020 U.S. elections, we are reminded that having the Internet be trusted, secure, reliable.

Twitter analysis of the current political situation in Belarus

There’s no way to conduct independent sociological research in Belarus, so Twitter and Python come in handy when analyzing political preferences.

Simple Regression Analysis: Portugal 2019 Election Results

Finally, my random dataset (link) generator outputted a regression task after continuous classification problems in a row. This time, the dataset being the Real-time Election Results.

The Python Software Foundation (PSF) Board Elections - Ewa Jodlowska

Ewa Jodlowska, the Python Software Foundation Executive Director, and Christopher Neugebauer, a current board member, discuss what the PSF is and does, what board directors do, and how you can be part of the exciting mission of the PSF.

How Good Are The Pollsters? Analyzing Five-Thirty-Eight’s Dataset

We know that not all polls are of the same quality. So, how to make sense of it all? How to identify trustworthy pollsters using data and analytics?