Posts within category: Machine Learning

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,...
Huy Tran
Posted on March 14, 2018
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...
Lakshmi Prabha Sudharsanom
Posted on March 12, 2018
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...
Dean Goldman
Posted on March 12, 2018
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...
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...
Michael Chin
Posted on March 11, 2018
Visualizing Data from the British Geological Survey
Minerals are a ubiquitous part of daily life. So much so, it is likely that you are touching...
Dean Goldman
Posted on February 3, 2018
Understanding The Drivers Of CTR In Mobile Display Advertising
Introduction: According to the Wireless Association’s Website (, there were approximately 255.4 million American wireless subscribers, representing a...
A.I. Development for Two Sigma Halite II Challenge
Introduction Halite is an open source artificial intelligence programming challenge, created by Two Sigma, where players build bots...
Hans Lau
Shubh Varma
Ilyas Shomayev
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Posted on January 20, 2018
Journey to Middle Earth - Webscraping the Lord of the Rings
The Lord of the Rings is an epic high fantasy novel written by English author and scholar J....
Posted on January 9, 2018
Predicting Customer's Drink of Choice From Real-Time Image Capture
Introduction Our team had the privilege of collaborating with the data science team of one of the largest...
Team Machine Learning Project
A quick introduction Kaggle is a sort of data science candyland in which one can pick and choose...
Housing Prices in Ames, Iowa: Kaggle's Advanced Regression Competition
Introduction Residential real estate prices are fascinating... and frustrating. The homebuyer, the home-seller, the real estate agent, the...
Kathryn Bryant
Paul Ton
Hans Lau
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Posted on November 20, 2017
Kaggle Competition : House Pricing in Ames, Iowa
,With the breakthrough of Machine Learning in recent years, it has seen rapid and successful deployment across many...
Chung Meng Lim
Wing Yan Sang
Iman Singh
Theo Kwanga
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Posted on November 19, 2017
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...
How to Recommend Pet Food Product from Unsupervised Learning
Market  Overview Sales of pet food in the US has increased by 40 percent for the first quarter...
Summer Sun
Posted on November 7, 2017
Analyzing and Predicting European Soccer Match Outcomes
Introduction Soccer, in my opinion,  is not only  the most popular but  the  best sport in the world....
Efezino Erome-Utunedi
Posted on October 18, 2017
Increasing Countries' Happiness
This project is devoted to the important topic of country development and happiness. I found two interesting data...
Posted on October 12, 2017
Real time Yelp reviews analysis and response solutions for restaurant owners
Motivation Before trying a new restaurant, we frequently consult with review platforms, such as Yelp, Zomato, or Google,...
Yu-Han Chen
Posted on September 29, 2017
Allstate Auto Insurance Claims Severity Prediction
Introduction The aim of the Allstate Claim Severity project is twofold, first to predict the severity of insurance...
Posted on September 26, 2017