Posts with tag: linear regression

IOWA House Price Prediction Kaggle Competition
Advanced Machine Learning Techniques The Competition Probably, one of the most popular competitions on Kaggle is the house...
Using Machine Learning to Build a Predictive Model for House Prices
Introduction The purpose of this project was to build a model to predict housing prices in Ames, Iowa...
House Price Prediction with Creative Feature Engineering and Advanced Regression Techniques
Can you imagine that a house can be described with 79 explanatory variables covering (almost) every aspect of...
Scraping Rotten Tomatoes to Increase Movie Profits
INTRO Rotten Tomatoes has become one of the most influential sites for consumers when deciding which movie they...
Kaggle Competition : Predicting House Prices in Ames, Iowa
In recent years, machine learning has been successfully deployed across many fields and for a wide range of...
Runner Data Insights
Motivation Why do some competitive long distance runners prefer to train in groups? Does training with a group...
Zillow Prize: Competing to Improve the Zestimate
Introduction Zillow is a popular online real estate and rental marketplace dedicated to providing customers with data to...
Predicting House Prices Using Machine Learning
Introduction Our machine learning project was a Kaggle competition for predicting home prices in Ames, Iowa. The dataset...
One Disney to rule them all?
Motivation Disney's acquisitions over the years reinvigorated the company’s force in the film industry. As you can see...
Unsupervised dimension reduction and clustering to process data for pooled regression models
Abstract: Unsupervised PCA and hierarchical clustering methods were used to group observations according to 41 dimensions of descriptive categorical...
Explanatory Value of Exit Velocity Data
Overview Beginning with the 2015 season, Major League Baseball began capturing and publishing Statcast data, which uses state...
Predicting Iowa House Prices using Supervised Machine Learning Algorithms
Authors: Daniel Park, Dimitri Liakhovitski, Gwen Fernandez, & Henry Crosby NYC Data Science Bootcamp, November 2017 Project Background...
Allstate Auto Insurance Claims Severity Prediction
Introduction The aim of the Allstate Claim Severity project is twofold, first to predict the severity of insurance...
Allstate Claims Severity - Predictive Analytics
Introduction Allstate claims severity was a Kaggle competition that was open in 2016. The objective of this competition...

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