GitHub topics: big-data-analysis
LatiefDataVisionary/big-data-for-data-science-college-task
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LatiefDataVisionary/big-data-and-data-analytics-college-task
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quackson/Smart-City-Education
smart city and smart education research based on big data analysis
Size: 1.82 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

MichaelMartinTech/NASA_Project_1_Wildfire_Smoke_Machine_Learning_Prediction_2023
Designed, developed, and implemented Machine Learning Algorithms for Wildfire Smoke Prediction using NASA Big Data
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MichaelMartinTech/NASA_Project_2_Wildfire_Smoke_ML_Deep_Learning_Model_Prediction_2024
Designed, developed, and implemented Ensemble and Deep Learning Machine Learning Algorithms for Wildfire Smoke Prediction using NASA Big Data
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nssharmaofficial/market-basket-analysis
Market basket analysis using Pandas and next order prediction by XGBoost
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GabrieleCarl/twitter-real-time-sentiment-analysis
twitter real-time sentiment analysis
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mrcaidev/data-mining-and-big-data-analytics 📦
电子科技大学 2020 级《数据挖掘与大数据分析》课程代码。
Language: Java - Size: 17 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 7 - Forks: 2

zxx1218/Computer-Graduation-Design
大数据时代已经迅猛而至,该系统从高校学生管理工作的实际方面出发,开发了一个面向教务以及教师人员的可视化系统,该系统通过采集学生个人信息数据,通过数据展示模块采集学生数据来构建一个完整的在校生数据库,以该数据库为依托来构建学生行为分析预测模块,通过既定算法计算并根据结果值进行后台分析,在前端分学生学科预警,成绩位置预测,综合素质雷达图和个人发展建议,通过设计和开发基于数据分析的在校学生素质发展监测系统,可以对高校在校学生学习发展情况等进行大致准确的判断,对每一位学生的学习和发展进行个性化分析和推荐,对可能存在的挂科情况和可能的不利发展前景等进行前置预警,这一举措可以大大提升高校对学生管理工作的方便程度和教育品质,真正的对每一位学生实现因材施教而不是统一模板化的流程化管理。
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YZhu0225/Estimating-the-Impact-of-Opioid-Control-Policies Fork of MIDS-at-Duke/pds-2022-yellow-team
The goal of the project is to evaluate the efficiency of laws and policies related to opioid drugs in Florida, Texas, and Washington.
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KeiNagayama/PRG2023
2023年プログラミングゼミの課題を解く
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Aasess/BigDataAnalysisAndRecommendationOfProductBundles
Final year major project on big data analysis of instacart dataset and finally Product Bundle Recommendation using pyspark(for clustering) and bigram for recommendation
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omar-elmaria/loved_brands_automation
This repo contains an algorithm that identifies vendors whose customers have a higher willingness to pay. The inherent inelasticity of these vendors is utilized as part of a price differentiation strategy called "Loved Brands"
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jkmagnussen/sql_Nanodegree
Clean data, optimize SQL queries, and write select advanced JOINs to enhance analysis performance. Use SQL DDL to create the data schemas & apply SQL DML to migrate data from a denormalized schema to a normalized
Size: 18.6 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mdsenelen/Credit-Card-Freud-Detection
Detection of credit card freuds and big data analysis of transactions. (csv files were too large to upload on github.)
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DEIB-GECO/CombSAFE
Combinatorial and Semantic Analysis of Functional Elements
Language: Python - Size: 34.2 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

UCLA-SEAL/BigSift
Automated Debugging in Data-Intensive Scalable Computing (SoCC 2017)
Language: Shell - Size: 164 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
