The Complete Life Cycle of Data: From Exploration to Deployment
April 15th, 2021

The purpose of this article is to summarize the predictive modeling process, from exploring the data to deploying the prediction. This includes the thought process behind various decisions during the process, be it selecting the features that could help with better pred

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Don´t Forget To Hone Your Data Engineering Skills (If you Want To Make A Dent in Real-World AI Projects)
March 24th, 2021

Big data engineering has been ranking high among emerging jobs on LinkedIn, surpassing data scientists in many ways. If you want to make a dent in real-world projects and accelerate your career, make sure to augment your data engineering skills.      Intervie

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How to Webscrape 700,000 PDFs for Natural Language Processing in 14 Hours to Help the Planet
March 6th, 2021

In order to identify financial incentives for forest and landscape restoration in LATAM, we needed to webscrape policy documents from government pages combining more than 1,300 keywords for each of the 108 targetted states. We did this 61x times faster (than using a lap

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NLP Analysis and Feature Engineering: Untangling the Data To Help NGOs Get Funding
March 4th, 2021

A Natural Language Processing (NLP) analysis pipeline walkthrough for feature extraction, scraping Twitter, Google, and 1200 PDF files through automated APIs. The overall approach allowed us to gather data that visualizes several billion dollars of not for profit grant

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Using Machine Learning to Predict Student Debt Repayment Capability
August 17th, 2020

By Laisha Wadhwa   Each day, there are news stories about the college tuition crisis. But what is the crisis we are seeking to solve? Is it the staggering amount of student debt? The rapidly rising cost of higher education? Is the interest being collected on studen

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