Posts with tag: Neural networks

Real Estate and Machine Learning
Real Estate and Machine Learning Presented at Tech Innovation Nation NY and NYCDSA meetup.com/Tech-Innovation-Nation-NY nycdatascience.com eventbrite.com By Ted...
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...
Tribots read and write
10-Ks, annual financial corporate reports, is the basis of intelligent investment. These reports often reveals key information about...
Top 9% Open Kaggle Competition - Santander Products Recommendation
Introduction In order to support the clients for range of financial decisions, Santander Bank offers their customers personalized...
Kaggle: Allstate Insurance
Background For this project our dataset was selected for us. Since it was a Kaggle competition our primary...
Higgs Boson Kaggle Case Studies
Contributed by by Ruonan Ding, Frank Wang and Joseph Wang. They are currently in the NYC Data Science Academy 12 week full...
Higgs Boson Machine Learning Challenge
Contributed by by Belinda Kanpetch, Taraqur Rahman, Steven Ginzberg and Michael Winfield.  They are currently in the NYC Data Science Academy 12 week...
Detecting Thyroid Lesions in Ultrasound Scans: Object Localization using Bounding Boxes and Deep Learning
An Image Processing Project based on Neural Network Deep Learning  Sponsored by Koios Medical, this project aims to...
Predicting Profit Warnings: NLP applied to Conference Call Transcripts Analysis
The objective of the following research is to introduce the reader into NLP (Natural Language Processing) and how...
Building a Painting Style Classifier with Tensorflow
The objective of my project was to build a painting style classifier with Tensorflow (Artificial Neural Network), that...
Kaggle: Predicting Allstate Auto Insurance Severity Claims
Introduction Kaggle competitions are a good place to leverage machine learning in answering a real-world industry-related question. A...
Optimizing Machine Learning Algorithms to Model Allstate Loss Claims
Introduction A viable business model for an insurance company has to involve some way to assess how much...
Predicting the Higgs-Boson Signal
Contributed by Arda Kosar, Kyle Szela, Hayes Cozart and Radhey Shyam . They are currently in the NYC Data Science Academy 12 week full...
Elyanah: Data Tools for Elixir
Contributed by Tom Welsh. Tom is currently in the NYC Data Science Academy 12 week full time Data...

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