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The project involves performing the ETL process on Amazon product review datasets by extracting the data, transforming it into different Spark DataFrames using a provided schema, and uploading the DataFrames into an RDS instance.
This repository contains an analysis of the effectiveness of different drug regimens on the treatment of squamous cell carcinoma in mice, utilizing statistical methods and data visualization techniques.
This is an interactive dashboard built with D3.js, Plotly.js, and Bootstrap to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels.
This project aims to build a neural network model using TensorFlow to predict the success of a charity organization if funded by investors, with an achieved accuracy score of around 73.1%.
This project involves building and comparing the performance of two supervised machine learning models - Logistic Regression and Random Forest Classifier - to evaluate credit risk using a lending data set.
This project involves analyzing a database of sample crowdfunding projects using Excel to uncover trends and insights into successful campaigns.
This project involves using Python, SQLAlchemy, and Flask to analyze and visualize climate data in Honolulu, Hawaii, and create a web API for accessing the analysis results.
This is a project that sources data from two datasets and creates a SQL database to find the highest and lowest rated movies within certain release years.
This repository uses unsupervised machine learning to explore a myopia dataset to see whether patients can be placed into distinct groups to predict myopia.
This repository contains a Jupyter notebook that performs an analysis of sample school and standardized test data using Pandas.
This repository contains two Python scripts: one for analyzing financial records and another analyzing election results, calculating various values and printing the analysis to the terminal and exporting to a text file.
This is an SQL project involving data modeling, data engineering, and data analysis.
This repository contains a VBA script that analyzes generated stock market data for a given year and outputs various information, including the yearly change, percentage change, and total stock volume for each stock.
This repository involves generating random cities and performing an analysis of their weather data, and using the Google Maps API to create a heatmap displaying each city.
This is a web design project that visualizes weather data for various cities around the world using Bootstrap for styling, displaying several visualizations and a table with the weather data.
This repository involves web scraping and analyzing various sites about Mars, with deliverables that store and visualize the scraped data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.