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Mohd Shahizan Othman (@drshahizan)

drshahizan

Stars
2,362
Global Rank 12,355 (Top 0.5 %)
Followers 771
Following 2
Registered about 3 years ago
Most used languages

Jupyter Notebook
33.3 %

Python
22.2 %

JavaScript
16.7 %

HTML
16.7 %

ASP.NET 5.6 %

CSS
5.6 %
Location 🇲🇾 Malaysia
Country Total Rank 20
Country Ranking

ASP.NET 1

HTML
1

Jupyter Notebook
4

JavaScript
9

Python
9

CSS
13

learn-github

A step-by-step guide to getting started with Git and GitHub for beginners.

learn-php

This course is designed to introduce students the fundamental of knowledge, technologies and components for web application developments. The basic topics includes the standard HTML for content creation, CSS for content presentation, JavaScript for client-side logics, PHP for server-side logics and MySQL for data processing.

software-engineering

This course is designed to give students an introduction to an engineering approach in the development of high-quality software systems. It will discuss the important software engineering concepts in the various types of the common software process models.

Python_EDA

This topic explains about the implementation of exploratory data analysis (EDA). A total of 21 EDA case studies have been implemented using the Malaysian dataset.

Jupyter Notebook

Python-big-data

Python and Pandas are known to have issues around scalability and efficiency. You will learn how to use libraries such as Modin, Dask, Ray, Vaex etc to overcome the problems faced by Pandas.

Jupyter Notebook

python-web

This topic explains how to implement web scraping and python web development. Web scraping topics such as scrapy, beautiful soup, and others will be covered. A case study based on a Malaysian website.

Jupyter Notebook

special-topic-data-engineering

This course presents to the students recent research and industrial issues pertaining to data engineering, database systems and technologies. Various topics of interests that are directly or indirectly affecting or are being influenced by data engineering, database systems and technologies are explored and discussed.

SLR-FC

Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.

python-tutorial

Jupyter Notebook

obsidian

Obsidian.md stands out as an exceptional note-taking application tailored specifically for academic writing. This repository is part of the activities for the Systematic Literature Review using AI workshop.

dataset

SECP3843

undergraduate-project

Final Year Project or commonly known as a Projek Sarjana Muda (PSM) is a course whereby each undergraduate student must undertake and pass in order to graduate. It aims is to equip students with knowledge and skills in problem solving/programming technique through appropriate academic and research activities.

HPDP

High performance data processing employs high performance computing (HPC) to process data, which is then translated into information and knowledge. The advent of high-performance computing and data analytics enabled real-time interrogation of extremely large data sets.

Jupyter Notebook

obsidian-slr

This repository hosts an Obsidian vault tailored for conducting a Systematic Literature Review (SLR). This repository is part of the activities for the Systematic Literature Review using AI workshop.

learn-django

BDM

Course covers big data fundamentals, processes, technologies, platform ecosystem, and management for practical application development.

Jupyter Notebook

research-material

Information related to research material that can be used by postgraduate students

research-design

This course will cover the fundamental steps and implementation on developing the initial ideas to formal academic writing accordingly. Students will be given the mechanisms on how to transform and digest the literature reviews that leads to the proposed title.

learn-aspnet

This course introduces the fundamentals of web development using ASP.NET, with the aim to develop a database (SQL Server) driven website.

drshahizan

My profile readme

drshahizan.github.io

phd

The daily life of a PhD student may differ significantly from that of an undergraduate or Masters student. There will be much more independence and very few 'taught' elements. A typical week will almost certainly include the same number of PhD study hours as a full-time job.

courses

Course material-related information.

AI-Innovation

SLR-MIIT

mySMOKU

mybooks

Generative-AI-Playground

Generative-AI-Playground is a platform for experimenting with different generative models and techniques. It lets you try out advanced technologies like ChatGPT, Bing.AI and Gemini. This playground is a place where people can learn and practice using these models.

trainee

data-analytics

SLR

ai-tools

book-eda

myTOR

zenodo

learn-chatGPT