https://github.com/jhwa426/big-data-and-machine-learning

Big Data, Data Mining / Machine Learning techniques
https://github.com/jhwa426/big-data-and-machine-learning

data-science google-colaboratory jupyter-notebook machine-learning probabilistic-models python sql statistics

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Big Data, Data Mining / Machine Learning techniques

• Host: GitHub
• URL: https://github.com/jhwa426/big-data-and-machine-learning
• Owner: jhwa426
• Created: 2022-11-23T06:29:20.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-20T21:06:57.000Z (over 1 year ago)
• Last Synced: 2024-12-19T12:24:17.234Z (about 2 months ago)
• Topics: data-science, google-colaboratory, jupyter-notebook, machine-learning, probabilistic-models, python, sql, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 23.8 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# BUSAN 302 : Big Data and Machine Learning

## Course Overview

The purpose of this course is to acquire knowledge to apply appropriate Big Data, Data Mining / Machine Learning techniques to gain information insights to various problems faced by an organisation. The focus of this course is to firstly identify a problem from a given case study that needs solving; secondly, consider various possible designs and select the most appropriate solution; and finally, to specify a solid plan for building and evaluating the system designed. No executable implementation of the system is expected. A basic knowledge of Big Data and tools will be given. Knowledge and experience of state of the art machine learning tools from a key vendor, will be gained in the labs with opportunities and encouragement to explore other tools.

## Course Requirements

Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222 Restriction: INFOMGMT 393, INFOSYS 330