Coding For All

Good going all!

http://opensource.guide

Open Source Guide A community guide for open source creators.

https://www.youtube.com/watch?v=tNa99PG8hR8&index=2&list=PLT6elRN3Aer7ncFlaCz8Zz-4B5cnsrOMt

Visualising a Decision Tree

Visualizing a Decision Tree - Machine Learning Recipes #2 Last episode, we treated our Decision Tree as a blackbox. In this episode, we'll build one on a real dataset, add code to visualize it, and practice reading ...

Have you ever questioned the nature of your reality?

Advaita17, in association with Stockroom.io , is proud to present Westworld, an awesome Data Science and Machine Learning , followed by a . The workshop will be a basic primer on solving a variety of problems using machine learning tools. There are no pre-requisites for this workshop! At the end of the workshop, an online competition will commence, which will require teams to develop their own models for solving 3-4 different types of problems.

Registration: https://goo.gl/forms/1HiWWbfXDM7mKmDF2

Coordinator: Yash Sinha(7077026123)
Rohan Pattnaik (8319992141)
Pranshu Malviya(8658133779)


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https://medium.freecodecamp.com/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13 #.t5tlnynfy

Spaced repetition is the key to memorization. Once you learn something, review it again later, and again even later. At each repetition, you reinforce your learning. Spending hours and hours at one time on priority queues won’t make you an expert. You become an expert by revisiting and reviewing over time. If you do so, you’ll get to the point where can’t forget details.

I studied full-time for 8 months just for a Google interview It’s true. I’ve spent thousands of hours reading books, writing code, and watching computer science lectures, all to prepare for the Google…