awesome-codejam-resources
💫 A curated list of pattern recognition resources for CodeJam 2019
https://github.com/mcgill-ecsess/awesome-codejam-resources
Last synced: 23 days ago
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👶 Basics
- Automate the Boring Stuff with Python - An in-depth series of tutorials to learn how to code in Python. If you don't know what language to use, Python is a good start!
- What's an API? - Learn how to use external services in your projects.
- A Beginner’s Guide to HTTP and REST - A more in-depth guide on how to use REST APIs.
- Roadmap to Fullstack Web Development - Web projects are some of the easiest to make during a hackathon. Learn more about different technologies that are commonly used!
- Google Machine Learning Crash Course - If you want to ramp up quick on machine learning.
- Titanic: Machine Learning from Disaster - A beginner-friendly prediction competition.
- Learn Git Branching - Interactive tutorial to learn Git, the most popular version control system for collaborative programming.
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📚 Useful Libraries and Frameworks
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🔌 Useful Plug and Play APIs
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🔢 Data Set Resources
- Amazon Q&A Dataset
- Australian Government Data
- Cat Images Dataset (purrrfect)
- Home Depot Search Queries Dataset
- IMDB Dataset
- Kaggle Datasets
- Microsoft Building Footprint Data
- Microsoft T-Drive Dataset: Taxi One-Week Trajectories
- Open NYC Data
- Food Images Dataset
- Geographic Datasets
- Stanford Car Images Dataset
- Stanford House Numbers Dataset
- Wikipedia Toxic Comment Classification Challenge
- Yelp Dataset (businesses, reviews, and user data)
- Model Zoo
- Flickr Thematic Image Datasets
- Microsoft GPS Trajectories Dataset
- Model Depot
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☁️ Cloud Computing
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🏡 Hosting your application
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🛠 Recommended Software
- Visual Studio Code - Your favorite programmer's favorite text editor.
- GitHub Desktop - Easy-to-use Git GUI interface so you don't need to use the command line.