“利用ML和GRU技术，我们的项目探索特斯拉股票价格预测。方法论涉及EDA、序贯模型构建、GRU模型和准确性的模型评估技术。”
"Utilizing ML and GRU techniques, our project explores Tesla stock price prediction. Methodology involves EDA, Sequential Model Building, GRU models, and model evaluation techniques for accuracy." (2024-05-05, Jupyter Notebook, 0KB, 下载0次)
我的任务是分析追溯到2016年的广泛数据集。这些数据集涵盖了游戏行业的各个维度，包括用户和专家评论、游戏类型、平台（例如，Xbox、PlayStation）、历史销售数据，以及关键的ESRB评级
My task is to analyze extensive datasets spanning back to 2016. These datasets encompass various dimensions of the gaming industry, including user and expert reviews, game genres, platforms (e.g., Xbox, PlayStation), historical sales data, and crucially, ESRB ratings (2024-04-09, Jupyter Notebook, 0KB, 下载0次)
该存储库旨在开发一个基本的搜索引擎，利用Hadoop的MapReduce框架来高效地索引和处理大量文本语料库。该项目使用的数据集是英文维基百科转储的子集，总大小为5.2GB。该项目侧重于实现朴素搜索算法，以解决信息中的挑战。
This repository aims to develop a basic search engine utilizing Hadoop s MapReduce framework to index and process extensive text corpora efficiently. The dataset used for this project is a subset of the English Wikipedia dump, totaling 5.2 GB in size. The project focuses on implementing a naive search algorithm to address challenges in information. (2024-04-01, Jupyter Notebook, 0KB, 下载0次)
Projet de groupe pour le cours de Python pour la Data Science项目。组别：克莱门·德·拉德梅尔（Clement de Lardemelle）、路易斯·利戈尼埃（Louise Ligonniere）、皮埃尔·克莱顿（Pierre Clayton）
Projet de groupe pour le cours de Python pour la Data-Science. Groupe: Clement de Lardemelle, Louise Ligonniere, Pierre Clayton (2023-12-30, Jupyter Notebook, 0KB, 下载0次)
该项目旨在使用PySpark MapReduce实现朴素贝叶斯分类器。分类器将应用于为分类问题选择的基于文本的数据集。
This project aims to implement a Naive Bayes classifier using PySpark MapReduce. The classifier will be applied to a text-based dataset chosen for a classification problem. (2023-12-20, Jupyter Notebook, 0KB, 下载0次)
使用谷歌云平台（GCP）开发了一个关于优步数据集的现代数据工程项目。建立了一个事实上和维度上的数据模型...，
Developed a modern data engineering project on the Uber dataset using Google Cloud Platform (GCP). Built a data model in fact and dimension format, transformed the data using Python, deployed the code on a compute instance, loaded the data onto BigQuery, and created a final dashboard for data analysis and visualization. (2023-10-12, Jupyter Notebook, 0KB, 下载0次)
我们的数据由澳大利亚昆士兰大学布里斯班4072和新南威尔士大学堪培拉ACT 2612澳大利亚...，
Our data is used by University of Queensland, Brisbane QLD 4072, Australia and University of New South Wales, Canberra ACT 2612, Australia And this data is a subset of big data used , the big data has many data sets inside it , and this data is one type of it t s called NF-Ton-IoT, Its about 1,379,274 and 14 feature (2023-09-23, Jupyter Notebook, 0KB, 下载0次)
为达拉斯、科林、塔兰特和丹顿的1172个人口普查区域创建了儿童资源指数健康得分。项目是...
Created a child resource index health score for 1172 census tracts in Dallas, Collin, Tarrant and Denton. Project is focused on learning software engineering, data visualization, statistical models (2020-05-14, Jupyter Notebook, 0KB, 下载0次)
卡尔斯鲁厄研究所硕士课程“地理数据分析II-机器学习和大数据”的演讲材料...
Lecture material for the Master Course "Geodata Analysis II - Machine Learning and Big Data" at Karlsruhe Institute of Technology (KIT) (2023-05-22, Jupyter Notebook, 136008KB, 下载0次)
Open_Organiz_Shop_in_Amsterdam，这是我完整的循序渐进的探索性数据分析（EDA）项目。在这里，我探索阿姆斯特丹附近...
This is my complete step-by-step Exploratory Data Analysis (EDA) project. Here, I explore the Amsterdam neighborhood to find out the best place to open a new organic shop. I am using various Python libraries and packages to scrape the open data from the web, create the data frames, and generate nice visualizations, such as leaflet maps. In the (2021-11-25, Jupyter Notebook, 672KB, 下载0次)
PGA分析，一个端到端的数据科学项目，以ETL、EDA、贝叶斯推理、机器学习模型、Sphinx文档为特色...
An end-to-end Data Science project featuring ETL, EDA, Bayesian Inference, Machine Learning models, Sphinx documentation, and reproducible reports via GNU Make. (2020-09-26, Jupyter Notebook, 21121KB, 下载0次)
巴基斯坦自杀式炸弹数据集，分析自杀式炸弹模式，并用t...
Analyzing the Suicide Bombing Patterns and seeking some of the most tangled questions with good visualizations with the help of Machine Learning and Data Science. (2019-03-31, Jupyter Notebook, 436KB, 下载0次)
乳腺癌-威斯康星州，这是一个数据集，使用有关细胞的描述对给定数据集中的良性和恶性细胞进行分类...
This is Data set to Classify the Benign and Malignant cells in the given data set using the description about the cells in the form of columnar attributes. There are Visualizations and Analysis for Support. (2019-03-31, Jupyter Notebook, 73KB, 下载0次)