• Kaggle NYC - Predicting Molecular Properties

    NY Microsoft Office

    Please keep your RSVP up to date. We welcome walk-ins on the day of, photo id required. chat with us http://kagglenyc.com/ Competition https://www.kaggle.com/c/champs-scalar-coupling Agenda: 6:00 - 9:00 self directed competition work

  • Kaggle NYC - NLP - Jigsaw competition team meeting

    NY Microsoft Office

    Please keep your RSVP up to date. We welcome walk-ins on the day of, photo id required. chat with us http://kagglenyc.com/ Competition https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification Agenda: 6:00 - 9:00 self directed competition work

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  • Kaggle NYC - NLP for conversations, Jigsaw competition team meeting

    Please keep your RSVP up to date. We welcome walk-ins on the day of, photo id required. chat with us http://kagglenyc.com/ Competition https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification Agenda: 6:00 - 9:00 self directed competition work

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  • Kaggle NYC - Santander Competition

    NY Microsoft Office

    Please keep your RSVP up to date. We welcome walk-ins on the day of, photo id required. chat with us http://kagglenyc.com/ Competition https://www.kaggle.com/c/LANL-Earthquake-Prediction Agenda: 6:00 - 6:25 Interview questions with Data Scientist Andy M 6:25 - 6:50 Kaggle kernels discussion 6:50 - 7:50 breakout competition work

  • Kaggle NYC - Interpretable Data Science at Deloitte

    This week we are being hosted by Deloitte. 🚀 Don't worry about the waiting list, we will be manually adding rsvp to the main list as the event approaches. Data Science does not live in a vaccum. Data driven organizations should be mature enough to change business strategy based on evidence seen in data. At this event we will focus on structured data problems, how model interpretability can affect business strategy, data science influencing business investment and demonstrating that the data science department has added business value. Chat with us https://kagglenyc.com/ Competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques Agenda: 6:00 - 6:20 Interview questions - Andy M 6:20 - 6:35 "How to land an onsite interview" - Thomas, Data Science Manager Deloitte 6:35 - 7:00 House prices regression with emphasis on model explainability, SHAP value analysis - Akhil Punia 7:00 - 8:00 breakouts

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  • Kaggle NYC - Santander Customer Transaction Prediction

    NY Microsoft Office

    Please keep your RSVP up to date. We welcome walk-ins on the day of, photo id required. chat with us http://kagglenyc.com/ Competition https://www.kaggle.com/c/santander-customer-transaction-prediction Agenda: 7:00 - 7:25 Interview questions with Data Scientist Jacob Peters 7:25 - 7:45 Kaggle kernels discussions with Harry Moreno 7:45 - 9:00 breakout competition work

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  • Kaggle NYC - Earthquake Prediction Challenge

    NY Microsoft Office

    Please keep your RSVP up to date. We welcome walk-ins on the day of, photo id required. chat with us http://kagglenyc.com/ Competition https://www.kaggle.com/c/LANL-Earthquake-Prediction Agenda: 6:00 - 6:25 Interview questions with Data Scientist Andy M 6:25 - 6:50 Kaggle kernels discussion on Earthquake prediction with Data Analyst Edward R 6:50 - 7:50 breakout competition work

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  • Kaggle NYC - Earthquake Prediction Challenge

    NY Microsoft Office

    DO NOT RSVP IF YOU ARE NOT COMING chat with us https://kagglenyc.com/ If you are not rsvped please ask before showing up. Competition https://www.kaggle.com/c/LANL-Earthquake-Prediction Agenda: 6:00-6:30 Interview questions with Data Scientist Andy M 6:30-6:50 Review Convolutional Neural Networks with Data Scientist Jacob Peters 6:50-7:50 breakout competition work

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  • Quora insincere questions detection with GloVe word embeddings

    We'll be doing Natural Language Processing on the Quora Insincere Questions Classification challenge https://www.kaggle.com/c/quora-insincere-questions-classification/ The goal is to detect toxic content to improve online conversations. chat with us https://kagglenyc.com/ RSVPs close 48 hours before the event. If you are not rsvped please ask before showing up. Interview questions are posted a day before the event. Check back then. Agenda: 6:00-6:30 Interview questions with Data Scientist Andy M 6:30-6:50 Review Quora competition with Douglas Lee 6:50-7:50 breakout competition work This event will be recorded and posted in the discussion the next day.

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  • Predict if a Machine Will Soon be Hit with Malware

    WeWork 79 Madison Ave

    We'll be meeting to discuss current Kaggle competitions, including the Microsoft Malware Prediction Challenge. Please bring laptops and questions for the group. Read and join a competition beforehand - https://www.kaggle.com/c/microsoft-malware-prediction - https://www.kaggle.com/c/quora-insincere-questions-classification - https://www.kaggle.com/c/elo-merchant-category-recommendation We are up to chapter 6.2 in Deep Learning with Python. Alternatively you can do https://www.tensorflow.org/tutorials/sequences/recurrent to prep. We will be pair programming. It's best if you are comfortable with Python scientific stack and TensorFlow. Chat with us https://kagglenyc.com/ so you can join our team Call[masked] if you have issues finding us. Data Science Interview Questions: 1. How do you deal with very unbalanced dependent variable classes? 2. What are two types of regression regularization and how do they differ? Agenda: 6:00-6:30 Discussion Data Science Interview questions 6:30-7:00 Discussion on Kaggle Challenge 7:00-7:15 Introductions 7:15-8:00 Continue Kaggle discussion / set goals for next week