[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290706-105":59,"doc-detail-290706-en":134},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":127,"head_meta":129,"extra_data":131,"updated_unix":133},105,"en","configuration-manual-msc-research-project-data-analytics","Configuration Manual - MSc Research Project Data Analytics","","Configuration manual for an MSc Research Project Data Analytics, authored by Samrudhi Hawalli Ramachandra under the supervision of Teerath Kumar Menghwar. The manual documents technical procedures used during the study, including environment setup, hardware and software specifications, and the execution stack (Jupyter Notebook and Python 3.10.0). It details dataset sourcing from Kaggle, data collection structure, preprocessing steps such as missing-value imputation and outlier detection/removal, label encoding, train-test splitting, and iterative model implementation, concluding with visual comparison of model results via bar graphs.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/configuration-manual-msc-research-project-data-analytics/290706/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/configuration-manual-msc-research-project-data-analytics/290706.png","ImageObject",300,407,{"name":92,"@type":93},"Levi","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-21","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What is the purpose of this configuration manual?","Question",{"text":112,"@type":113},"It guides the reader through the technical procedures used in the research, including tools, environment, and configuration details so the work can be replicated or extended.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What hardware and software environment does the project use?",{"text":117,"@type":113},"The manual specifies an AMD Ryzen 5 5500U with Radeon Graphics, 8.00 GB RAM, a 64-bit OS, and execution using Jupyter Notebook with Python 3.10.0.",{"name":119,"@type":110,"acceptedAnswer":120},"How is the dataset prepared before modeling?",{"text":121,"@type":113},"It covers loading the dataset, preprocessing steps such as dropping irrelevant columns and filling missing values using mean/median, outlier detection and removal, and label encoding for categorical features.",{"name":123,"@type":110,"acceptedAnswer":124},"How are models trained and compared?",{"text":125,"@type":113},"The dataset is split into training (80%) and testing (20%), multiple machine learning models are defined for iteration, and results are compared visually using bar graphs.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},290706,1790017258,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":143,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":67,"update_tm":147,"read_time":148},7971461740909,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Configuration Manual  \nMSc Research Project Data Analytics  \nSamrudhi Hawalli Ramachandra  \nStudent ID:x23242361  \nSchool of Computing National College of Ireland  \nSupervisor: Teerath Kumar Menghwar  \nNational College of Ireland Project Submission Sheet School of Computing  \n| Student Name: | Samrudhi Hawalli Ramachandra |\n| --- | --- |\n| Student ID: | x23242361 |\n| Programme: | MSc.Data Analytics |\n| Year: | 2024-2025 |\n| Module: | MSc Research Project |\n| Supervisor: | Teerath Kumar Menghwar |\n| Submission Due Date: | 12/12/2024 |\n| Project Title: | ConfigurationManual |\n| Word Count: | 430 |\n| Page Count: | 7 |\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: | Samrudhi Hawalli Ramachandra |\n| --- | --- |\n| Date: | 12th December 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  \nSamrudhi Hawalli Ramachandra  \nx23242361  \n1 Introduction  \nThis manual serves as a guide to document the technical procedures followed during the research. It includes details about the tools, environment, and code configurations used in the study. Additionally, it provides code snippets highlighting specific configurations relevant to the project. The purpose of this manual is to outline the steps required to replicate work and explore extensions of the research.  \nSection 2 outlines the setup of the environment used to execute the project. Section 3 describes the process of data collection in detail. Section 4 highlights the initial analysis, model implementation, and the results obtained.  \n2 Environment  \nThe hardware utilized for this project is detailed in Figure 1 . It includes an AMD Ryzen 5 5500U processor with Radeon Graphics running at 2.10 GHz, 8.00 GB of installed RAM (7.33 GB usable), and a 64-bit operating system with an x64-based processor architecture.  \nFigure 1: Device specifications  \nThe code was executed using Jupyter Notebook and Python version 3.10.0 .  \n3 Data Collection  \nThe earthquake datasets from Kaggle offer valuable insights into global earthquake activity. These datasets include various parameters, such as time, location (latitude and longitude), depth, magnitude, magnitude type, and other relevant details.  \nFigure 2: Dataset1  \nFigure 3: Dataset2  \nFigure 4: Dataset3  \n4 Model Implementation  \nFigure 5 shows the libraries imported into the code.  \nFigure 5: Imported Libraries  \nNext we load the dataset and check the information of the dataset like total columns and rows. Also check the datatypes of the columns  \nFigure 6: Load the dataset  \nFigure 7, shows dropping irrelevant columns handling of missing values by filling empty values by mean/median.  \nFigure 7: Preprocessing Steps  \nFigure 8 and 9 shows the detection and removal of outliers  \nFigure 8: Outliers Detection  \nFigure 9: Outliers removal  \nLabel en","cbCaibxynbKduwBC","https://ap.wps.com/l/cbCaibxynbKduwBC","pdf",1329319,"English","# 1 Introduction\n# 2 Environment\n# 3 Data Collection\n# 4 Model Implementation","[{\"question\":\"What is the purpose of this configuration manual?\",\"answer\":\"It guides the reader through the technical procedures used in the research, including tools, environment, and configuration details so the work can be replicated or extended.\"},{\"question\":\"What hardware and software environment does the project use?\",\"answer\":\"The manual specifies an AMD Ryzen 5 5500U with Radeon Graphics, 8.00 GB RAM, a 64-bit OS, and execution using Jupyter Notebook with Python 3.10.0.\"},{\"question\":\"How is the dataset prepared before modeling?\",\"answer\":\"It covers loading the dataset, preprocessing steps such as dropping irrelevant columns and filling missing values using mean/median, outlier detection and removal, and label encoding for categorical features.\"},{\"question\":\"How are models trained and compared?\",\"answer\":\"The dataset is split into training (80%) and testing (20%), multiple machine learning models are defined for iteration, and results are compared visually using bar graphs.\"}]","Configuration Manual - MSc Research Project Data Analytics | PDF",1789642406,23]