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

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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。

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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

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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)

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