Posts with tag: Kaggle (page 3)

Predicting Home Prices in Ames, IA Using Regression Models
This project was the result of a team effort along with Dean Goldman, Michael Chin, and Matthew Sun to enter into the Housing...
Predicting House Prices Using Machine Learning Algorithms
Introduction Inspired by the accomplishments of the women in the movie, “Hidden Figures” we named our team after...
Leveraging What We Know About Meetups Part 1
  INTRO I admit, when I first heard about Meetup.com about a year ago, I thought the whole...
Advanced Regression to Predict Housing Prices (Kaggle Competition)
Project Overview: This project was a team effort along with Kweku Ulzen, Michael Chin, and Matthew Sun to...
Housing Prices in Ames, Iowa – a Machine-Learning-Project
Introduction ‘Machine Learning’ is the science of programming computers so they can learn from data and its use...
Voyage to the intelligent music streaming service: Ep 1. The analysis of Top ranked Songs and Artists
Prologue Previously in 2012 and 2013, I had worked on developing a Music Recommendation System algorithm based on...
Where to Find a Clean Restaurant in San Francisco
Introduction The Department of Public Health in San Francisco conducts unannounced inspections of restaurants at least once a...
Predicting Housing Prices in Ames: A Machine Learning Project
Introduction In this project we use machine learning techniques to attempt to predict housing prices in Ames, Iowa....
Toxic Comments Classification, and 'Non-toxic' Chat Application
1/ Project description: I've recently participated in a Kaggle's competition about Toxic comments classification, sponsored by the Conversation AI team,...
Jigsaw's Text Classification Challenge - A Kaggle Competition
Introduction This post is about the third of the four projects we are supposed to deliver at the NYC...
Predicting House Prices in a Kaggle Machine Learning Competition
Photo by Brendan Bell I. Introduction Our team, composed of Ansel Santos, Sal Lascano, Yicong Xu, and Moon...
Ames Housing Price Predictions - Model Ensembling
Introduction The purpose of this project was to create an accurate model for Ames, Iowa home prices from...
Alumni Spotlight: William Zhou, Informatics Specialist at Memorial Sloan Kettering Cancer Center
William Zhou is currently working as an Informatics Specialist at Memorial Sloan Kettering Cancer Center. While working as...
Credit Card Fraud Detection with QDA, LR, SVM models
Project Description: This blog is based on my work on Kaggle. Link: https://www.kaggle.com/huyqtran/qda-lr-svm-for-fraud-detection This kernel used the Credit Card...

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