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anggastika's repositories

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

100

machine-learning-exams

This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.

100

Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

MIT100

robotframework-appiumlibrary

AppiumLibrary is an appium testing library for RobotFramework

Language:PythonApache-2.0100

SGDK

SGDK - A free and open development kit for the Sega Mega Drive

Language:CMIT100

students-performance-prediction

Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.

Language:Jupyter Notebook100

ucimlrepo

Python package for dataset imports from UCI ML Repository

MIT100

VIPR

Verifying Integer Programming Results

100

wdio-cucumber-e2e-test

100

bigproject.apigateway

mas mamun

000

clownmdemu

A Sega Mega Drive/Sega Genesis emulator that is written in C89.

AGPL-3.0000

coba-postman

000

Coursera-Deep-Learning

My notes / works on deep learning from Coursera

Language:Jupyter NotebookMIT000

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

Language:PythonNOASSERTION000

DevOps-Projects

𝑫𝒆𝒗𝑶𝒑𝒔 𝑹𝒆𝒂𝒍 𝑾𝒐𝒓𝒍𝒅 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔 𝒇𝒐𝒓 𝑨𝒔𝒑𝒊𝒓𝒊𝒏𝒈 𝑫𝒆𝒗𝑶𝒑𝒔 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒔 [𝑩𝒆𝒈𝒊𝒏𝒏𝒆𝒓 𝒕𝒐 𝑨𝒅𝒗𝒂𝒏𝒄𝒆𝒅]

000

eShopOnWeb

Sample ASP.NET Core 7.0 reference application, powered by Microsoft, demonstrating a layered application architecture with monolithic deployment model. Download the eBook PDF from docs folder.

MIT000

express-balancify

ExpressBalancify is a project showcasing the implementation of a load balancer using Express.js with a Round Robin algorithm for efficient traffic distribution across multiple servers.

MIT000