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Kirola  \nStudent ID: x22141855  \nSchool of Computing National College of Ireland  \nSupervisor: Arghir Nicolae Moldovan  \nNational College of Ireland Project Submission Sheet School of Computing  \n| Student Name: | Deepak Singh Kirols |\n| --- | --- |\n| Student ID: | x22141855 |\n| Programme: | Data Analytics |\n| Year: | 2023 |\n| Module: | MSc Research Project |\n| Supervisor: | Arghir Nicolae Moldovan |\n| Submission Due Date: | 14/12/2023 |\n| Project Title: | Configuration Manual |\n| Word Count: | XXX |\n| Page Count: | 6 |\n\nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \n\n| Signature: | Deepak Singh Kirola |\n| --- | --- |\n| Date: | 30th January 2024 |\n\nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST:  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) . | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nConfiguration Manual  \nDeepak Singh Kirola  \nx22141855  \n1 Introduction  \nThis document aims to provide clear instructions for recreating the deep learning framework used to retrieve memories from lifelogging data  \n1.1 Target Audience  \nThis manual is for people and companies in the construction business looking to improve workplace safety using advanced computer techniques Mohammed and Mahmud (2020) . It’s made for those who handle the computer system, analyze data, and take care of the special safety management system we talk about here  \n2 Hardware Requirements  \nThe following setups were used to carry out the project:  \n2.1 Local Machine  \n• Operating System: macOS Sonoma, Version 14 .0  \n• Chip: Apple M2  \n• Memory: 8 GB  \n• Display: Built-in Liquid Retina Display, 13.6-inch (2560 × 1664)  \n• Storage: Macintosh HD-94.05 GB available of 245 . 11 GB  \nFigure 1: Hardware Configuration on Local Machine  \n3 Software Requirement  \n3.1 Tableau:  \nPurpose: Insightful Visualization  \nDescription: Tableau Desktop version 2022 .4 Figure 2 is utilized for insightful visualization, creating clear representations that enhance the interpretability of incident data, aiding informed decision-making.  \nFigure 2: Configuration on Tableau  \n3.2 Python:  \n• Purpose: Foundation for Machine Learning Implementation  \n• Description: Python 3.9.13 Figure 3 serves as the core programming language, supporting diverse tasks such as modeling and visualization within our machine learning system.  \nFigure 3: Configuration on Python  \nUsing Anaconda Navigator, the retrieval framework was set up on the home server using a Jupyter Notebook Figure 2 . The navigator makes opening a Jupyter Notebook, running Python code, and obtaining pictures easier.  \nFigure 4: Configuration on Anaconda Navigator  \n4 Libraries Requirements  \nThe imported libraries are listed below Figure 5:  \nFigure 5: Configuration on Anaconda Navigator  \n5 Dataset Description  \n• Name: OSHA Accident and Injury Data [https://www. kaggle. com","cbCaihj69UXQ3e3q","https://ap.wps.com/l/cbCaihj69UXQ3e3q","pdf",2022922,"English","# 1 Introduction\n## 1.1 Target Audience\n# 2 Hardware Requirements\n## 2.1 Local Machine\n# 3 Software Requirement\n## 3.1 Tableau\n## 3.2 Python\n# 4 Libraries Requirements\n# 5 Dataset Description\n# 6 Model Preparation\n# References","[{\"question\":\"Who is the target audience of this configuration manual?\",\"answer\":\"The manual is intended for people and companies in the construction business who want to improve workplace safety using advanced computer techniques and who manage systems and analyze data for a special safety management system.\"},{\"question\":\"What hardware and operating environment does the manual specify for the local machine?\",\"answer\":\"It specifies macOS Sonoma version 14.0, an Apple M2 chip, 8 GB memory, a 13.6-inch Liquid Retina display, and available storage on Macintosh HD.\"},{\"question\":\"Which steps are included in the model preparation phase?\",\"answer\":\"Model preparation covers data preprocessing (missing values, scaling, categorical encoding), feature selection, model training, choosing suitable model type (classification/regression), and hyperparameter tuning to improve performance.\"}]","Configuration Manual - MSc Research Project | PDF"]