[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119451-en":3,"doc-seo-119451-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119451,1374391974468,"Eden","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Machine Learning Techniques for Weather Forecasting - Thesis","Traditional weather forecasting relies heavily on recognizing recurring patterns from observation, yet many predictions remain unreliable. This thesis studies data-driven forecasting by using current conditions such as temperature, humidity, and wind speed as inputs to machine learning models. Six algorithms are evaluated to compare predictive performance and select the best approach for weather prediction. Results show Bayesian and Bagging with higher accuracy (0.86), while the Churn model achieves the highest precision (0.91).","CALIFORNIA STATE UNIVERSITY,NORTHRIDGE  \nMachine Learning Techniques for Weather Forecasting  \nA thesis submitted in partial fulfilment of the requirements for the degree of Master of Science,  \nIn Computer Science  \nBy  \nNithish Sai Vardhan Gollapapani  \nDecember 2023  \nThe thesis of Nithish Sai Vardhan Gollapapani is approved:  \nX  \nDr. Taehyung Wang  \nX  \nVanessa Klotzman, MS  \nX  \nDr. Robert McIlhenny, Chair  \nX  \nDate  \nX  \nDate  \nCalifornia State University Northridge  \nAcknowledgement  \nI would like to express my heartfelt gratitude to my parents for their unwavering support and encouragement during my academic journey. Their constant guidance and motivation have been instrumental in enabling me to complete my thesis with utmost precision and excellence.  \nI am also indebted to my mentors, whose valuable feedback, insights, and assistance have been instrumental in ensuring the quality and accuracy of my research work. I am grateful to the respected professors and doctors from the Computer Science at California State University Northridge for their invaluable contributions to my academic progress.  \nFurthermore, I wish to acknowledge the dedication and support of my teachers, whose consistent encouragement and diligent services have been crucial in shaping my academic accomplishments.  \nMy friends and mentors have also played a significant role in my journey, and I am deeply grateful for their unwavering support and encouragement.  \nLastly, I cannot thank my parents enough for their unconditional love and support, which has been my source of strength throughout my academic journey. Without their unwavering guidance and encouragement, I could not have achieved this milestone in my academic career. I am blessed to have such wonderful parents, mentors, and friends in my life, and I am deeply grateful for their invaluable contributions to my success.  \nTable of Contents  \nSignature Page………………………………………………………………………….…ii  \nAcknowledgement………………………………………………………………………..iii  \nList of [Figures....................................................................................................................vi](Figures....................................................................................................................vi)  \n[List of Tables....................................................................................................................vii](List of Tables....................................................................................................................vii)  \n[Abstract](Abstract)………………………………………………………………………………….viii  \nChapter 1 Introduction……………………………………………………………………1  \n1.1. Introduction……………………………………………………………………….1  \n1.2. Problem of statement……………………………………………………………..3  \n1.3. Aim……………………………………………………………...………………..3  \n1.4. Objectives……………………………………………………………………..…4  \n1.5. Research questions…………………………………………………………...…..5  \n1.6 Background…………………………………………………………………..…..5  \n1.7. Scope of the Study………………………………………………………….……6  \n1.8. Summary……………………………………………………………………..…..7  \nChapter 2: Literature Review……………………………………………….………….…8  \n2.1. Introduction…………………………………………………………….……….…8  \n2.2. Proposed models and methods……………………………………………………..9  \nChapter 3: Project Description……………………………………………………………15  \nChapter 4: Methodology…………………………………………………………………17  \nChapter 5 Dataset…………………………………………………………………….…. 21  \nChapter 6 Related Work…………………………………………………………..…….. 23  \nChapter 7: Results and Discussion…………………………………………………..……26  \nChapter 8: Conclusion……………………………………………………………...……...31  \nChapter 9: Future work………………………………………………………….......…….33  \nReferences………………………………………………………………………...……….35  \nList of Figures  \nFigure 4.1 Line chart with l1 penalty.......................................................................... 18  \nFigure 4.2 Line chart with l2 penalty.......................................................................... 18  \nFigure 4.3 Line chart with l1,l2,No penalty vs Optimal C.............................","cbCaithYIKu2ioAI","https://ap.wps.com/l/cbCaithYIKu2ioAI","pdf",881996,1,46,"English","en",105,"# Introduction\n## Introduction\n## Problem of statement\n## Aim\n## Objectives\n## Research questions\n## Background\n## Scope of the Study\n## Summary\n# Literature Review\n## Introduction\n## Proposed models and methods\n# Project Description\n# Methodology\n# Dataset\n# Related Work\n# Results and Discussion\n# Conclusion\n# Future work","[{\"question\":\"What inputs and data are used for the weather forecasting models?\",\"answer\":\"The forecasting system uses current temperature, humidity, and wind speed, and evaluates models using historical weather datasets to learn patterns from past conditions.\"},{\"question\":\"Which machine learning methods are compared in the thesis?\",\"answer\":\"Six methods are assessed: logistic regression, Bayesian, KNN, AdaBoost, Bagging, and decision tree, along with evaluation outcomes to compare accuracy.\"},{\"question\":\"What model shows the best predictive performance in the results?\",\"answer\":\"Among the six algorithms, the Churn model is reported as the most accurate, achieving precision accuracy of 0.91 in the trained setup based on historical weather data.\"}]","Machine Learning Techniques for Weather Forecasting - Thesis | PDF",1785724342,116,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-techniques-for-weather-forecasting-thesis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-techniques-for-weather-forecasting-thesis/119451/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What inputs and data are used for the weather forecasting models?","Question",{"text":75,"@type":76},"The forecasting system uses current temperature, humidity, and wind speed, and evaluates models using historical weather datasets to learn patterns from past conditions.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning methods are compared in the thesis?",{"text":80,"@type":76},"Six methods are assessed: logistic regression, Bayesian, KNN, AdaBoost, Bagging, and decision tree, along with evaluation outcomes to compare accuracy.",{"name":82,"@type":73,"acceptedAnswer":83},"What model shows the best predictive performance in the results?",{"text":84,"@type":76},"Among the six algorithms, the Churn model is reported as the most accurate, achieving precision accuracy of 0.91 in the trained setup based on historical weather data.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]