shreyasbgr's Stars
Al-Azif/ps4-exploit-host
Easy Exploit Hosting
GopalSaraf/Spotify_Crack_For_MacOS-Windows-Linux
Spotify crack for MacOS, Windows and Linux
sb2nov/resume
Software developer resume in Latex
krishnaik06/The-Grand-Complete-Data-Science-Materials
DanielBarnes18/IBM-Data-Science-Professional-Certificate
IBM Data Science Professional Certificate
simonw/datasette
An open source multi-tool for exploring and publishing data
public-apis/public-apis
A collective list of free APIs
analyticsindiamagazine/MachineHack
campusx-official/ML-Roadmap-for-2022
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
ayush714/data-science-roadmap
Roadmap for Data Science
akzare/Algorithms
Algorithm and Data Structures
williamfiset/Algorithms
A collection of algorithms and data structures
w-hat/ctci-solutions
Python solutions to Cracking the Coding Interview (6th edition)
AdminTurnedDevOps/DevOps-The-Hard-Way-AWS
This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
learntocloud/learn-to-cloud
Learn the fundamentals of cloud computing
wardviaene/jenkins-course
This is the repository with all the resources for the Jenkins training on Udemy
anushka23g/Complete-Placement-Preparation
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
AdicherlaVenkataSai/ml-workspace
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
rachitiitr/DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
Pierian-Data/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
joshnh/Git-Commands
A list of commonly used Git commands
naoto0804/pytorch-inpainting-with-partial-conv
Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]
mridulnagpal/Andrew-Ng-ML-Course-Assignments
Assignment solutions for Andrew Ng's Machine Learning Course
kaleko/CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
scm-ninja/starter-web
Simple starting point website project based upon Initializr
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
shreyasbgr/Andrew-NG-ML-Assignments