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The manual provides replication guidance, covering required hardware capacity, detailed software stack and exact versions for Windows 11, Anaconda Navigator, JupyterLab, and Jupyter Notebook, plus Python 3.10.13 libraries. It also explains directory setup, locating dependencies in the same folder as the ipynb file, and where to obtain the dataset and supporting files via Kaggle and GitHub.",{"@graph":69,"@context":122},[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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/hypertension-risk-prediction-using-machine-learning-models-and-ensemble-techniques-configuration-manual/290537/",{"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/hypertension-risk-prediction-using-machine-learning-models-and-ensemble-techniques-configuration-manual/290537.png","ImageObject",300,407,{"name":92,"@type":93},"Noah","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-14","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the purpose of this configuration manual?","Question",{"text":112,"@type":113},"It explains how to replicate the research project’s work, including hardware/software requirements and the file directory setup needed to run the code and reproduce results.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What software environment and tools are used?",{"text":117,"@type":113},"The project is implemented on Windows 11, using Anaconda Navigator for environment management, with JupyterLab and Jupyter Notebook (accessed via Anaconda Navigator or Anaconda prompt).",{"name":119,"@type":110,"acceptedAnswer":120},"Where can the dataset and project files be obtained?",{"text":121,"@type":113},"The data is publicly available on Kaggle, and the replication files can be cloned from GitHub. 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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.  \nSignature: Sarang Sanjay Khandare  \nDate: 10/12/2024  \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 for your 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  \nSarang Sanjay Khandare  \nStudent ID: 23173360  \n1 Introduction  \nThis document will provide instructions on how to best replicate the work undertaken as part of the associated research project. This research project was built, taking into consideration that is replicable. Thus, the setup and pre-requisites are relatively straightforward and easy to follow. This document will provide details about the necessary hardware and software requirements, as well as the file directory set up to run the code used in the research project.  \n2 Hardware requirements  \nThe data used in this research project was moderately sized, yet it is recommended that the research be carried out on a machine with sufficient CPU and processing power to handle some computationally intensive models. Figure 1 describes the hardware details of the device the research was carried out on.  \nFigure1: Hardware specifications  \n3 Software requirements  \nThe software requirements section highlights the libraries and software versions used in this research project. This will ensure the replicability and consistency of the results. Central to this project, the use of Jupyter notebook IDE was done. Jupyter Notebook IDE can be accessed through Anaconda Navigator or Anaconda prompt.  \n3.1 Software Environment:  \nThe implementation of the project was done on these software requirements:  \n• Operating System: Windows 11 (Version 23H2)  \n• Environment Management: Anaconda Navigator (Version 23.3.1)  \n• Integrated Development Environment: JupyterLab (Version 4.1.6) and Jupyter Notebook (Version 7.0.6).  \n3.2 Python and Libraries:  \nThis section highlights the python libraries, and their versions used in this research project. The Language used in the project was Python 3.10.13 within the Jupyter Notebook These libraries are necessary to replicate data preprocessing, Exploratory data analysis and modelling.  \nThe python libraries used in the project are mentioned in Figure 2.  \nFigure 2: Library Versions  \n3.3 Anaconda N","cbCaiskz5I9Xbu9P","https://ap.wps.com/l/cbCaiskz5I9Xbu9P","pdf",532132,"English","# 1 Introduction\n# 2 Hardware requirements\n# 3 Software requirements\n## 3.1 Software Environment\n## 3.2 Python and Libraries\n## 3.3 Anaconda Navigator\n## 3.4 Directory Setup\n# 4 Data\n# 5 Workflow\n# 6 Conclusion","[{\"question\":\"What is the purpose of this configuration manual?\",\"answer\":\"It explains how to replicate the research project’s work, including hardware/software requirements and the file directory setup needed to run the code and reproduce results.\"},{\"question\":\"What software environment and tools are used?\",\"answer\":\"The project is implemented on Windows 11, using Anaconda Navigator for environment management, with JupyterLab and Jupyter Notebook (accessed via Anaconda Navigator or Anaconda prompt).\"},{\"question\":\"Where can the dataset and project files be obtained?\",\"answer\":\"The data is publicly available on Kaggle, and the replication files can be cloned from GitHub. The dataset should be placed in the same directory as the Python notebook file for use.\"}]","Hypertension Risk Prediction using Machine Learning Models and ensemble techniques - Configuration Manual | PDF",1789641958,15]