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Includes a configuration manual covering system specification (Intel i7, Windows 11, 16GB RAM, 512GB SSD), required software stack (Anaconda, TensorFlow/Keras, Pandas, NumPy, Matplotlib, Seaborn, Sklearn, Jupyter), and installation steps. Describes dataset source selection via Kaggle, code execution workflow from dataset loading and preprocessing through EDA, model selection, training, evaluation, and reporting of classification results for multiple models.",{"@graph":69,"@context":123},[70,84,106],{"@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/msc-research-project-data-analytics-enhancing-music-recommendations-with-machine-learning-techniques/290374/",{"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/msc-research-project-data-analytics-enhancing-music-recommendations-with-machine-learning-techniques/290374.png","ImageObject",300,407,{"name":92,"@type":93},"Eliana","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",16,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What does the manual cover for the music recommendation system project?","Question",{"text":113,"@type":114},"It covers instructions for setting up and executing the code, including required configurations, software installation, dataset sourcing, and the execution workflow from loading data through model evaluation.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What hardware and operating system were used in the system specification?",{"text":118,"@type":114},"The project specifies Intel i7, Windows 11 (Home), 16 GB RAM, and a 512GB SSD hard drive.",{"name":120,"@type":111,"acceptedAnswer":121},"Which software tools are listed as required for development?",{"text":122,"@type":114},"The manual lists Anaconda, TensorFlow and Keras, Pandas, NumPy, Matplotlib, Seaborn, Sklearn, and Jupyter.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},290374,1789641521,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":41,"preview_page_count":4},4398048949847,"https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267","Configuration Manual  \nMSc Research Project Data Analytics  \nNaveenreddy Konreddy  \nX22170219  \nSchool of Computing National College of Ireland  \nSupervisor: Furqan Rustam  \nNational College of Ireland  \nMSc Project Submission Sheet  \nSchool of Computing  \nStudent   .   Naveenreddy Konreddy    \nName:  \nStudent ID:   x22170219    \nProgramme:   Data Analytics   Year:   2023   . . Module:   Research Project   .    \nLecturer:   Furqan Rustam   Submission  \nDue Date:   14/12/2023   Project Title: Enhancing music recommendations with meachine learning techniques Word Count:   672   Page Count:   10   .   .    \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:   NAVEENREDDY KONREDDY    \nDate:   14/12/2023    \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\nDate:  \nConfiguration Manual  \nNaveenreddy Konreddy  \nX22170219  \n1. Introduction  \nThis manual demonstrates all the instructions on setting up and executing the code for the code implementation of enhancing music recommendations using neural networkson a large-scale dataset. The application is implemented in Python and incorporates advanced machine learning and neural network method approaches. The following sections guides through the necessary requirements configurations and tools.  \n2. System Specification  \nThe classification recommendation system has been developed on these following hardware configurations:  \n􀁺 Process: Intel i7 generation  \n􀁺 Operating System: Windows 11 (Home)  \n􀁺 Ram: 16 GB (DDR4)  \n􀁺 Stroage Hard Drive: 512GB (SSD)  \n3. Softwares Used:  \nThe following tools which are required to use and development for music recommendation system:  \n􀁺 Anaconda  \n􀁺 Tensorflow and Keras  \n􀁺 Pandas  \n􀁺 Numpy  \n􀁺 Matplotlib  \n􀁺 Seaborn  \n􀁺 Sklearn  \n􀁺 Jupyter  \n4. Installation of the Software:  \n􀂾 First download the anaconda from the their official website and then start installing to the operation system website: [https://www.anaconda.com](https://www.anaconda.com)  \n􀁺 Chosen it for (Just Me) and then clicked on Next until the installation get started.  \n􀁺 Creates the new virtual environment for the purpose of the our application (Music Recommendation System)  \n􀁺 Activate the new virtual environment and install the required packages to make the our research would get done by necessary packages.  \n5. Source of Dataset  \nGather the large-scale music track dataset which would be suitable for training for machine learning as well as neural networks models. Datasets would be like Million Song Dataset or others available on platforms where but I used the Kaggle to chose the dataset.  \n6. Code Execution  \nOpen the jupyter noteboook to start developing or modifying the .ipynb (Integrated Python Notebook) for the task from the beginning loading the dataset to evaluating the models.  \nExecution to Run the File:  \n􀁺 Loading of the dataset  \n􀁺 Preprocesing of the dat","cbCaihoHuGcEeMZM","https://ap.wps.com/l/cbCaihoHuGcEeMZM","pdf",2388546,12,"English","# 1. Introduction\n# 2. System Specification\n# 3. Softwares Used\n# 4. Installation of the Software\n# 5. Source of Dataset\n# 6. Code Execution","[{\"question\":\"What does the manual cover for the music recommendation system project?\",\"answer\":\"It covers instructions for setting up and executing the code, including required configurations, software installation, dataset sourcing, and the execution workflow from loading data through model evaluation.\"},{\"question\":\"What hardware and operating system were used in the system specification?\",\"answer\":\"The project specifies Intel i7, Windows 11 (Home), 16 GB RAM, and a 512GB SSD hard drive.\"},{\"question\":\"Which software tools are listed as required for development?\",\"answer\":\"The manual lists Anaconda, TensorFlow and Keras, Pandas, NumPy, Matplotlib, Seaborn, Sklearn, and Jupyter.\"}]","MSc Research Project Data Analytics - Enhancing music recommendations with meachine learning techniques | PDF"]