Tag: Machine Learning

Kijiji House Price Analysis using Python

This is the first project that I have done for WeCloudData. The purpose of this project is to find the relationship between housing prices in Toronto(GTA) in relation to location, house size, number of bedrooms and number of bathrooms. We start by scraping data from Kijiji through the URL requests. Then we parse our data source […]

Predictive Churn Modeling Using Python

This blog is posted by WeCloudData’s Data Science Bootcamp student Austin Jung. Customer churn is a common business problem in many industries. Losing customers is costly for any business, so identifying unhappy customers early on gives you a chance to offer them incentives to stay. In this post, I am going to talk about machine […]

Credit Scoring Using Machine Learning

The credit score is a numeric expression measuring people’s creditworthiness. The banking usually utilizes it as a method to support the decision-making about credit applications. In this blog, I will talk about how to develop a standard scorecard with Python (Pandas, Sklearn), which is the most popular and simplest form for credit scoring, to measure […]

Fraud Analytics: ML Tutorial on Dealing with an Imbalanced Dataset

This blog is posted by WeCloudData’s Immersive Bootcamp student Anthony Chen. Fraud analytics provide a certain challenge that people may glance over at first. The problem of the imbalanced dataset. How do we approach it? What angle should we start at? What kind of performance measures do we use? The goal of this article is […]

Introduction to Machine Learning In Healthcare

Machine learning applications in healthcare was a great hit with the NYC audience. At least 130 enthusiastic attendees joined the Bots and AI Meetup on December 10th, with the crowd extending far to the back of the room. Lucy He of Flatiron Health kicked off the night with an examination of machine learning’s impact in medical study cohort selection. […]