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Covers hardware and software prerequisites, including processor/RAM/SSD, OS build 22H2, Python version, and tools such as MS Excel and Google Colab. Describes dataset acquisition from Kaggle, dataset loading workflow on Colab, and key preprocessing steps like null-value cleaning and datatype checks, with references to figures and installation of required packages for the project workflow.",{"@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":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/configuration-manual-of-sales-prediction-for-small-and-medium-enterprises-using-machine-learning/290523/",{"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-of-sales-prediction-for-small-and-medium-enterprises-using-machine-learning/290523.png","ImageObject",300,407,{"name":92,"@type":93},"Noah","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-18","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What hardware and software configuration is described for running the research?","Question",{"text":112,"@type":113},"The manual specifies hardware requirements including an 11th gen i7 processor, 16 GB RAM, and a 500 GB SSD. It also lists software setup such as OS build 22H2, Python, and tools like MS Excel and Google Colab.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Where are the datasets obtained and what dataset sizes are reported?",{"text":117,"@type":113},"Both datasets are downloaded from Kaggle. The medium enterprises sales_df has 1,017,208 rows and 9 columns, and store_df has 1,116 rows and 10 columns; the small enterprises dataset includes 8,523 training rows with corresponding input and output variables.",{"name":119,"@type":110,"acceptedAnswer":120},"What preprocessing steps are performed before modeling?",{"text":121,"@type":113},"The manual describes cleaning null values (including replacing nulls with 0 for the medium enterprises dataset) and checking datatypes for both SME datasets as part of data preprocessing.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},290523,1789641930,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},8796095462418,"https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780","Configuration Manual  \nMSc Research Project Master of Science in Data Analytics  \nShailesh Subhashchand Yadav Student ID: X21222801  \nSchool of Computing National College of Ireland  \nSupervisor: Dr Syed Muslim Jameel  \nNational College of Ireland MSc Project Submission Sheet School of Computing  \nStudent Name: Shailesh Subhashchand Yadav  \nStudent ID: x21222801  \nProgramme: MSc Data Analytics Year: 2022-23  \nModule: MSc Research Project  \nLecturer: Dr Syed Muslim Jameel  \nSubmission Due  \nDate: 18-09-2023  \nProject Title: Sales Prediction for Small and Medium Enterprises using Machine Learning  \nWord Count: 1142 Page Count: 20  \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.  \nSignature: Shailesh Subhashchand Yadav  \nDate: 18th September 2023  \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 of Sales Prediction for Small Medium Enterprises Using Machine Learning  \nShailesh Yadav  \nStudent ID: x21222801  \n1 Introduction  \nThe prerequisites required for performing our research smoothly will all be explained in this document. This configuration manual document will not only explain all the software as well as hardware tools used but also will talk in detail about all the steps taken for completion of our research of sales prediction for small medium enterprises using machine learning.  \n2 System Configuration  \nThe software and hardware tools used to perform this research are listed below.  \n2.1 Hardware Configuration  \nFig 1 :-Hardware specification  \n• Fig 1 showcases the device specification where we see the 11th gen i7 processor , the system contains 16 GB of RAM and 500 GB of SSD memory.  \n2.2 Sofware Configuration  \n• Fig 2 Showcases the OS build number and the operating system version which is 22H2  \nFig 2. System OS specification  \n• Python version  \nFig 3 :-Python Version  \n• MS Excel  \nFig 4 :-MS Excel Version  \n• Google Colab  \nFig 5:-Google Colab Configuration  \n3 Implementations and Results  \n3.1 Dataset  \n• Both the datasets are being downloaded from Kaggle  \n• Kaggle is an online website where publicly free datasets are available  \nFig 6:-Medium Enterprises Dataset  \nThe medium enterprises dataset is huge and sales_df contains 1017208 rows and 9 columns and store_df contains 1116 rows and 10 columns  \n• Small Enterprises Dataset which was taken from Kaggle  \nFig 7:-Small Enterprises Dataset  \nThe small Enterprises Dataset Contains train data of 8523 rows and test data of the train data set has both input and output variable.  \n3.2 Installing Required Packages  \n• Importing all then required packages required for the research  \n5681 rows  \n,  \nFig 8:-Python Packages to be installed and imported  \n3.3 Dataset loading on Google Colab  \nFig 9:-Uploading the Medium enterprises  \nFig 9.(a):-Uploading the Small Enterprises Data  \ndataset on ","cbCairK1auwctUuG","https://ap.wps.com/l/cbCairK1auwctUuG","pdf",986056,22,"English","# 1 Introduction\n# 2 System Configuration\n## 2.1 Hardware Configuration\n## 2.2 Sofware Configuration\n# 3 Implementations and Results\n## 3.1 Dataset\n## 3.2 Installing Required Packages\n## 3.3 Dataset loading on Google Colab\n## 3.4 Loading the Dataset\n## 3.5 Data Pre-Processing","[{\"question\":\"What hardware and software configuration is described for running the research?\",\"answer\":\"The manual specifies hardware requirements including an 11th gen i7 processor, 16 GB RAM, and a 500 GB SSD. It also lists software setup such as OS build 22H2, Python, and tools like MS Excel and Google Colab.\"},{\"question\":\"Where are the datasets obtained and what dataset sizes are reported?\",\"answer\":\"Both datasets are downloaded from Kaggle. The medium enterprises sales_df has 1,017,208 rows and 9 columns, and store_df has 1,116 rows and 10 columns; the small enterprises dataset includes 8,523 training rows with corresponding input and output variables.\"},{\"question\":\"What preprocessing steps are performed before modeling?\",\"answer\":\"The manual describes cleaning null values (including replacing nulls with 0 for the medium enterprises dataset) and checking datatypes for both SME datasets as part of data preprocessing.\"}]","Configuration Manual of Sales Prediction for Small and Medium Enterprises Using Machine Learning | PDF",55]