Apply machine learning techniques to predict customers

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This post is about one of the capstone project choices for the Udacity Data Science Nanodegree; Customer Segmentation Report for Bertelsmann/Arvato. The project is of personal interest to me as it represents a real-life data science task using both unsupervised and supervised machine learning and is also a Kaggle InClass Competition.

Project Overview

In this project, I will analyse demographic data for customers of a mail-order sales company in Germany, comparing it against demographics information for the general population. I will use unsupervised learning techniques to perform customer segmentation, identifying the parts of the population…


Focus on what matters and let go of what doesn’t!

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Introduction

When you’ve been devastated by a serious accident, your focus is on the things that matter the most: family, friends, and other loved ones. Pushing paper with your insurance agent is the last place you want your time or mental energy spent. The amount of information that are required from insurance companies can be very daunting and time consuming. But do insurance companies need all these information and paper work? Can this process be more efficient and less of a nuisance?

Now, I have a personal viewpoint on the reality…


How severe is an insurance claim?

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The insurance industry contributes a lot to the general economic growth of the society by helping individuals and companies manage risk. Efficiencies in insurance claims severity analysis can help keep rates lower for consumers and provide targeted assistance to better serve them.

In this machine learning project, we will predict how severe insurance claims will be using data provided by AllState on Kaggle. We accomplished this using the CRISP-DM methodology. CRISP-DM stands for cross-industry process for data mining. The CRISP-DM methodology provides a structured approach to planning a data science project.

The CRISP-DM consists…


A data-based approach using ‘Students Performance in Exams’ dataset

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As parents, we always want the best for our children. Performing well at school is one of the major factors helping our children to achieve a brighter future. It can be said that exam performance of one’s child is a good predictor of their future. If not, at least doing well in exam makes us parents feel proud. Now, I have a personal viewpoint on the reality of these statements. It’s likely that you may as well have your own opinion. But what does the data suggest?

By courtesy of the…

Fardil Bhugaloo

Machine learning and data science enthusiast.

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