Discover WillKoehrsen/driven-data-cloud-cover Open Source project

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Jupyter Notebook
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MIT License
Created almost 3 years ago
Updated almost 3 years ago

WillKoehrsen

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https://www.drivendata.org/competitions/83/cloud-cover/

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Projects, reports, and design work completed on the job, with engineering teams, and for coursework.

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Learning about and practicing with autoencoders.

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Code I have written for tutorials in order to learn Python.

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Work for taking on the numer.ai machine learning competition

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Collection of Work Completed for the Kaggle Home Credit Default Risk machine learning competition in 2018

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Materials and projects for EECS 491 AI: Probablistic Graphical Models

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Exploring Python visualization options

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Experimenting with various methods for dimenion reduction

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Following tutorial: https://enlight.nyc/projects/build-a-spotify-widget

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Taking on the astronomical classification challenge https://www.kaggle.com/c/PLAsTiCC-2018

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Development of the weight tracker application

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Work for the data driven Power Laws Competition

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Work for the NYSERDA Proptech Data Challenge

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Work and Datasets Related to the book Deep Learning with Python

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DataDriven "rinse over run" competition work

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Udacity Version Control and Git Reflection Questions

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NEA Scout sun sensor testing work.

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All Resources and Projects for the Coursera Deep Learning Specialization

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For projects and resources related to EECS 391 at CWRU Fall 2017.

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podcasts

Retrieving and Managing Podcasts

Python

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Ruby

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Interact with Google Drive from command line and Python

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WillKoehrsen/driven-data-cloud-cover

WillKoehrsen

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