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CodeZoned | Resources
Contains a lot resources for CS. Will be filled soon.
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2017-11-02
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About Resources

This page contains resources for computer science. If you too have something to contribute, make a PR by editing this file and we will merge if it looks good.

### Set 4 [Generating Random Data in Python](https://realpython.com/python-random/)
[Real-Time Human Pose Recognition in Parts from a Single Depth Image](https://www.microsoft.com/en-us/research/publication/real-time-human-pose-recognition-in-parts-from-a-single-depth-image/)
[Random Forest Classifier - Pre-requisite for reading the above paper](https://medium.com/machine-learning-101/chapter-5-random-forest-classifier-56dc7425c3e1)
[Web Push Notifications](https://maxtraffic.com/web-push-notifications/)
[Business Analytics with R](https://www.udemy.com/business-analytics-with-r/)
### Set 9 [How to Approach Machine Learning Problems?](https://www.toptal.com/machine-learning/machine-learning-problems)
[5 Best Free CSS Tutorials For Web Designers and Developers](https://www.technotification.com/2018/07/css-tutorials-websites-web-designers.html)
[What Is React?](https://dzone.com/articles/what-is-react)
[Step by Step process of How I Became a Machine Learning Expert in 10 Months](https://www.analyticsvidhya.com/blog/2018/07/mystory-became-a-machine-learning-expert-10-months/)
[How to Use Java Stream Collectors?](https://dzone.com/articles/java-stream-collectors)
### Set 12 [Open Source - Node Web Server](https://github.com/czgdp1807/node-web-server)
[Introduction | ML Universal Guides](https://developers.google.com/machine-learning/guides/text-classification/)
[Data Transfer Project – An Open Source Initiative For Data Portability](https://www.technotification.com/2018/07/data-transfer-project-open-source.html)
[Dependency Injection: Python](https://dzone.com/articles/dependency-injection-python-1)
[Help with Dynamic Programming](https://codeforces.com/blog/entry/60797)
### Set 13 [BuddyCSS: A new CSS framework](https://www.catswhocode.com/blog/buddycss-a-new-css-framework-for-people-who-love-making-websites)
[iOS App Development](https://www.raywenderlich.com/200138/updated-course-your-first-ios-app)
[A beginner's guide to AI: Natural language processing](http://flip.it/SadZAA)
[Penetration Testing: A Hands-on Introduction to Hacking](https://g.co/kgs/AK6wbh)
[10 best online resources to learn JavaScript Programming](https://www.technotification.com/2018/07/10-resources-to-learn-javascript.html)
### Set 25 [How to install VirtualBox in Windows 10](https://youtu.be/63_kPIQUPp8)
[C++ Programming Video Tutorials For Beginners](https://www.youtube.com/playlist?list=PLfVsf4Bjg79Cu5MYkyJ-u4SyQmMhFeC1C)
[The Complete C Developer Course - Build 7 Exciting Projects](https://www.udemy.com/the-complete-c-developer-course-build-7-exciting-projects/)
[The Complete Web Development Bootcamp](https://www.udemy.com/web-development-bootcamp/)
[Learn HTML and CSS](http://www.programmingbuddy.club/2018/08/learn-html-and-css-from-scratch-udemy.html)
### Set 32 [Dynamic Programming in Reinforcement Learning](https://youtu.be/fAGgZrGZRsc)
[Best tutorials for referencing Machine Learning](http://adventuresinmachinelearning.com/)
[Installing caffe](http://caffe.berkeleyvision.org/install_apt.html)
[OpenGL](https://learnopengl.com/Getting-started/OpenGL)
[A paper on negative factorial](https://drive.google.com/file/d/1k-_jUbIUFfPQuEdJet7bnXkXzwAUEkml/view?usp=drivesdk)
### Set 33 [Maryam Mirzakhani](https://drive.google.com/file/d/1AqLwtsUx0KdiqrTiL4zLIndSoRaguomD/view?usp=drivesdk)
[Shuhanshu](#)
[Nitish Rawat](#)
[List of fundamental data structures for beginners](http://codeforces.com/blog/entry/46464)
[15 Algorithms in 6 Minutes](https://youtu.be/kPRA0W1kECg)

Contributors

[Vikas Srivastava](https://www.linkedin.com/in/007vikaxh/)
[Ayush](https://www.linkedin.com/in/ayush-kumar-a1948913b/)
[Abhishek Kumar Shukla](https://www.linkedin.com/in/abhishek-shukla-661635151)
[Vaibhav Tripathi](http://linkedin.com/in/vvtrip)
[Nitish Tiwari](https://www.linkedin.com/in/kumarnitish1996)
[Sirjanpreet Singh Banga](https://www.linkedin.com/in/sirjanpreet-singh-banga-284291115/)
[Deepansh Bhargava](https://www.linkedin.com/in/deepansh946)
[Vedansh Priyadarshi](http://linkedin.com/in/pristineVedansh)
[Sanjeev Sharma](https://www.linkedin.com/in/sanjeev-sharma-663715154/)
[Padam Prakash](https://www.linkedin.com/in/padam-prakash-138017159)
[Ayush Kumar](https://www.linkedin.com/in/ayush-kumar-a1948913b/)
[Mohit Thorat](https://www.linkedin.com/in/mohit-thorat-866759159)
[Ashutosh Kumar Ray](https://www.linkedin.com/in/ashuray/)
[Chaitanya Vaishampayan](https://www.linkedin.com/in/chaitanya-vaishampayan-44742614a)
[Harshal Desai](https://www.linkedin.com/in/harshal-desai-863027147)
[Piysuh Maav](https://www.linkedin.com/in/piyush-maav-181a6312b)
[Darshan Chheda](https://www.linkedin.com/in/darshan-chheda-b82a19156)
[Anuj Gupta](https://www.linkedin.com/in/anuj-gupta-b21620a5)
[Jai Singh](http://www.linkedin.com/in/jai-singh-6900a212a)
[Kaish Ansari](https://www.linkedin.com/in/kaish114)
[Shivanshu Srivastava](https://www.linkedin.com/in/shivanshu-srivastava-046a53133)
[Tarsbir Singh](https://www.linkedin.com/in/tarsbir-singh/)
[Rakesh Roshan](https://www.linkedin.com/in/rakesh-raushan-143484156/)
[Adit Mehta](https://www.linkedin.com/in/adit-mehta-169137159)
[Ashutosh Ray](https://www.linkedin.com/in/ashuray/)
[Nivedit Jain](https://www.linkedin.com/in/nivedit-jain-8132b4148/)
[Mohammad Arshad](https://www.linkedin.com/in/arshad404/)
[Kartikei Mittal](https://www.linkedin.com/in/kartikei-mittal-a2177b16b)
[Abhishek Nanda](https://www.facebook.com/NandaAbhishek118/)