Data for Change

Applied data science and analytics to tackle global warming induced environmental challenges. End-to-end project with real world rainfall data

“Data for good is a movement in which people and organisations transcend boundaries to use data science and AI to tackle today’s pressing challenges so as to improve society.”

Photo by author.

Table of Contents

  1. Introductory Story
  2. Input Data Preparation
  3. Exploratory Data Analysis
  4. Feature Engineering
  5. Model Selection
  6. Policy Recommendations
  7. References

Introductory Story

Picture this scenario. Out of nowhere, you are appointed as Senior Advisor to the Ministry of Humanitarian and Disaster Management in Somalia, the government agency responsible for handling nationwide emergencies. Struck by sheer joy, you’d love to update your LinkedIn profile, your Twitter timeline, and all your other platforms to celebrate. …


A beginner-friendly tutorial with real world, web-scraped article data. Exploring a range of SOTA NLP techniques to accurately flag news texts as either fake or real.

Photo by Kayla Velasquez on Unsplash.com

Table of Contents

  1. Introduction
  2. Raw Input Data
  3. Exploratory Data Analysis
  4. Feature Engineering
  5. Model Selection
  6. Conclusion
  7. References

Introduction

Social media’s rise as a byproduct of the internet age represents the most profound trend of the 21st century. Certainly, ever since widespread adoption, a considerable part of social life moved to online spaces, while centuries of prior human exchange involved physical contact. A phrase often used by its advocates: ‘Your network is your net worth’, embodies exactly that, and also illustrates how much power we ascribe to this new facet of modernity. From enabling users to build social networks, pools of knowledge and news sharing, organised…


A beginner-friendly tutorial that explores ethical data science — elucidating how one can work with data while preserving sensitive, private information.

Photo by Bermix Studio on Unsplash

Note from Towards Data Science’s editors: While we allow independent authors to publish articles in accordance with our rules and guidelines, we can’t validate every author’s contribution. The author of this post reiterates that he is not giving legal advice. See our Reader Terms for details.

Introduction

Being data scientists with naturally inquisitive minds, our work is all about going berserk with data. We are literally obsessed about it. Day in and day out, we’re tasked with cleaning messy tables, modelling causal relationships, and developing bulletproof predictions. And most of us do so with passion.

Yet regardless of what we are…


In this essay, I’m reviewing and critically reflecting on Gerald Hanley’s non-fiction travel diary from the perspective of a Somali.

Image 1: The book’s cover pictured on a stand. Photo by author.

Background Story (Prelude)

A while back, I penned a poignant little story on paper. It related a true event which I had witnessed in a North London eatery. Two Somali brothers, one many years older than the other, had made a pact to stand up for one of their own. Though a mere spectator, I knew with certainty that I had to immortalise the whole scene in writing. Truthfully, it was everything but a romanticised paragon of the Somali spirit of collectivism. Which…


A comparative analysis of the roles and responsibilities, points of overlap and expectations of the ‘sexiest job of the 21st century’.

Photo by Campaign Creators from Unsplash.

Stylised as the sexiest job of the 21st century, data science has emerged as one of the most in-demand professions of recent years — taking hold with a hype that normally only surrounds celebrities. Companies worldwide put lucrative salaries, prestige and the privilege of wielding influence up for grabs to attract analytical talent. Behind all the hype is a growing importance of digital data that’s currently transforming the way we live and work.

It’s no wonder that more and more enthusiasts want to break into this new field. But before venturing into data science and analytics with one’s eyes closed…

Mohamed A. Warsame

Educator | Data Scientist | Applied Machine Learning | MSc certified Economist | Writer | Poet | www.warsamewords.com/

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