Posts with tag: python machine learning

What to Buy and How to Sell: Learnings from the Ames Housing Data Set
LinkedIn | Other Work | Github Repository Housing prices have risen dramatically in the past year, driven by...
Healthcare Fraud Detection
Background The National Health Care Anti-Fraud Association (NHCAA) estimates that financial losses due to healthcare fraud are in...
USING MACHINE LEARNING TO PREDICT HOUSING PRICES IN IOWA
INTRODUCTION   The aim of the project is to find the algorithm that can best predict housing prices in...
Predicting Housing Prices in Ames, Iowa
Background There are many qualities of a residential home that determine its worth and price outside of just...
Pipeline Incident Analysis and Forecast Modeling (2010 - 2017)
Introduction One of the greatest challenges pipeline operators face today is public opinion. One notable event in the...
Can Categorical Features Be Used To Improve The Performance Of Horse Racing Models?
Background The  horse racing community has been using quantitative data  to develop betting algorithms for decades.  Indicators including...
Starbucks Location Analysis
Since its inception in 1971 at Seattle’s Pike Place Market, Starbucks has grown into the world’s largest coffeehouse...
Stroke Prediction EDA and Descriptive Modeling
GitHub Introduction Stroke is the fifth leading cause of death and disability in the United States according to...
House Price Predictions in Ames, Iowa
Github Repo | LinkedIn Introduction and Objective Statement In this project I will be analyzing house prices for...
Predicting Lending Club Defaults and Returns
Introduction In the days before peer-to-peer (P2P) lending, if you needed money for personal purposes, you had a...
Finding Homes to Rent in College Towns
Github Repo Gabriela's LinkedIn Douglas's LinkedIn   Introduction Homecoming weekend drives university alumni and destination tourists into college...
Identifying Provider Fraud For Healthcare Insurers
Photo by Bermix Studio on Unsplash GitHub Repository | LinkedIn: Lucas Kim, Ryan Park, Sita Thomas Background This...
Predicting and Maximizing Home Values for Data Mining Firms
Photo by Tom Rumble on Unsplash ​​GitHub Repository | LinkedIn: Lucas Kim, Ryan Park, Sita Thomas Background For...
House Price Prediction with Machine Learning (Kaggle)
Intro This Kaggle competition involves predicting the price of housing using a dataset with 79 features. The data...

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