Posts with tag: python machine learning

Supervised Learning With Kaggle Titanic Dataset
Purpose Why I Chose This Project Kaggle.com offers an introduction to supervised learning with the Titanic Dataset.  The...
Predicting Stock Movement of Hang Seng's Components
Introduction This post is about the capstone project we are supposed to deliver at the end of the NYCDSA...
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...
Cluster Analysis of Twitter: Understanding Human Interactions for Business Improvement
Introduction Most of the data readily available in the real world comes unlabeled. Getting the labels often entails...
Predicting Meetup Members
Contributed by Taraqur Rahman. He was in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking...
Higgs Boson Kaggle Case Study
Contributed by by Ruonan Ding, Frank Wang and Joseph Wang. They are currently in the NYC Data Science Academy 12 week full...
Higgs Boson Kaggle Machine Learning Competition
Contributed by Wanda Wang, Rob Castellano, Yannick Kimmel, and Ho Fai Wong. They are currently in the NYC...
Mentor Matching using Machine Learning
I. Introduction For our group's capstone project, we consulted with #BuiltByGirls, a non-profit organization that connects young students...
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...
Kaggle competition (top 3% ): Optimizing Russian housing price prediction by a deep dive into the model selection and feature engineering
Russian Housing Market  The goal of Kaggle Competition is to predict Moscow's housing prices provided by Sberbank by machine...
Kaggle Competition: Predicting Realty Price Fluctuations in Russia’s Volatile Economy
The goal of the Sberbank Russian Housing Market Kaggle competition was to predict realty price fluctuations in Russia...
Network Intrusion Detection
Project initiated by Joseph Wang and contributed equally by Wanda Wang, Joseph Wang, Radhey Shyam, and Ho Fai Wong. They graduated from the NYC...
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...
Higgs Boson Machine Learning Challenge
Contributed by by Adam Cone and Zachary Escalante. They are currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking...

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