Name: Gebreigziabher M. Ab
Type: User
Company: Assosa University
Bio: Senior Lecturer and Researcher in Computer Science.
Research Interests: AI with the focus on ML and DL for text, image, Computer Vision and NLP
Location: Assosa, Ethiopia
Gebreigziabher M. Ab's Projects
ALX Software Engineering Programme
This repo contains Android Programming Practical Lab Manual. The practice is focused on Android SQLite Database Connectivity with Android Studio 3.1.
video platform using CSS and JavaScript
This repo contains essentials of Configuring Toolkits for Data Science and Deep Learning (Pandas, DataFrames, Numpy, Scipy, Matplotlib, Seaborn, Bokeh, Statsmodel, Scikit Learn, Keras, Tensorflow, Apache Spark and etc.)
This repo contains several courses I learnt on DataCamp.
Frontend Fundamentals Pirple
This repo contains Google Digital Skils - Fundamentals of Digital Marketing Materials.
Config files for my GitHub profile.
Solutions to Hackerrank problems in Python 3, SQL Oracle, JavaScripts and Statistics
This repo contains demonstration of Simple Banking System with Java Database Connectivity (JDBC)
Learn Computer Science in just 6 Months
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
All assignments, demos, and cheat sheets from the 9 courses in the "Meta Front-End Developer Professional Certificate" on Coursera.
This is Capstone Project for Meta Front-End-Developer Professional Certificate
This repo contains resources for all courses on Meta-Front-End-Developer-Professional-Certificate
This repo contains Basics of Python for Data Science
This repo contains demonstration of Distributed System with RMI - Remote Method Invocation with JDBC
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
https://connect.rstudioservices.com/jimhester/tidyverse_dashboard/tidyverse_dashboard.html
WorldQuant University Applied Data Science