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Understanding Customer Churn

Note: This blog post is for Udacity’s Data Scientist Nanodegree Program. Introduction There are two main challenges when running a subscription-based business: getting customers and retaining them. The goal of this project was to analyze customer churn data for an online Software as a Service (SaaS) company to understand how attributes about the customer’s enrollmentContinue reading “Understanding Customer Churn”

How I Passed the AWS Certified Cloud Practitioner Exam

Introduction There is a natural progression of an early career data professional’s abilities. They typically begin with learning basic data wrangling/munging skills including SQL and eventually progress to building machine learning models using APIs like scikit-learn. Once the foundational skills are in place, more advanced programming paradigms are used including object-oriented programming, custom modules, versionContinue reading “How I Passed the AWS Certified Cloud Practitioner Exam”

Heart Disease Model Deployment on the Google Cloud

TLDR; you can check out my end-to-end machine learning code (including model deployment) here. All feedback welcome! Introduction I’ve spent the last few weeks exploring the Google Cloud Platform and it’s role in the CRoss-Industry Standard Process for Data Mining (CRISP-DM) lifecycle. Based on my experience, most data scientists (including myself) have experience all theContinue reading “Heart Disease Model Deployment on the Google Cloud”

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