Hands on ML notebook series

Updated our ultimate post with a series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.


GithubLink: https://bit.ly/3eiwAdH

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GitHub repo containing machine learning cheatsheet with code:
https://github.com/soulmachine/machine-learning-cheat-sheet

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The best resources for Microservices in .NET Core

[ Github ] : https://bit.ly/3u7CC6G

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A frequently updated list of free resources. This repository is a well organized compilation of material collected from many parts of the world. It includes books, podcasts, websites, developer tools… you name it. Definitively a “must” for people who are learning to code.

https://github.com/vhf/free-programming-books

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This repository contains a set of charts demonstrating different paths to take and technologies to adopt in order to become a front-end, back-end, or dev-ops engineer.

https://github.com/kamranahmedse/developer-roadmap

Great GitHub repository containing many Google colabs with latest's Deep Learning Models
*Text-to-speach
*Speech recognition
*Object detection
*Pose detection
*Segmentation
*GANs

https://github.com/tugstugi/dl-colab-notebooks

Knowing how to work with the command line is often neglected by developers, yet it helps to improve productivity and flexibility as an engineer. This repository contains useful notes and tips on using the command line when working on Linux.

https://github.com/jlevy/the-art-of-command-line

It is a well-known fact that Documentation is an important asset to any software project. Writing self-documented code is one thing, but presenting it in a meaningful way is another. The author has collected those online resources that are ‘beautiful’ in terms of structure, design, usability, styling, diagrams, etc — so anyone that looks for inspiration on how to design their own documentation will find it resourceful.

https://github.com/PharkMillups/beautiful-docs

A complete computer science study plan to become a software engineer.

https://github.com/jwasham/coding-interview-university

Gitignore: A Collection of .gitignore Templates

GitHub stars: 111,000

This repository is exactly what the name suggests: a collection of useful .gitignore templates. For every new project you set up as a GitHub repository, it becomes mandatory to have a .gitignore file to filter what gets uploaded. The content of this file varies from project to project and language to language. The repo contains templates for almost any language or framework such as Rails, Python, Perl, Laravel, Java and many more. There even is a template for Fortran!

https://github.com/github/gitignore

Machine Learning University: Accelerated Natural Language Processing Class

1.6k stars 368 forks


https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp


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Looking for the implementation of algorithms in Python? If you are a Python lover then definitely checking out this repository will be interesting for you. You will find a lot of algorithmic topic implementation, data structures, machine learning, neural network, linear algebra and a lot more. The repository has also a collection of project euler problems.

https://github.com/TheAlgorithms/Python