The aim of this repository to guide the new students who wants to learn how basic algorithms of data mining (Apriori, Kmeans and KNN etc) are implemented
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Updated
Dec 9, 2020
The aim of this repository to guide the new students who wants to learn how basic algorithms of data mining (Apriori, Kmeans and KNN etc) are implemented
Using SQL to manipulate and clean the data, analyzing to discover trends and patterns, dig insights in an understandable format.
Petrophysical evaluation of Shaly Sand formations from well logs using R, MySQL and Excel. Well Data pulled from publicly available sources.
This repository contains Database Project on Social Media platform where it shows various categories like users, accounts, Follows and Hashtags and some analysis.
Our project is focused on automatically marking attendance of an individual based on the stored face encodings and storing it in the database to generate final report on attendance. Our goal is reduce human work of marking attendance of an individual and make the process more effective. The project detects Face Emotion in Real-time emotion
Login App(Desktop) using Windows Presentation Framework(WPF) with C# .net and mysqlserver on Visual Studio(VS)
🐍 Python: Core programming language used for building the application .. 🌐 Flask: Lightweight web framework powering the Chadstore website. 🗄️ MySQL: Database system for managing GigaChad merchandise data. 💪 GigaChad: The ultimate internet icon inspiring this meme-based e-commerce platform.
Inventory management system using Java and MYSQL
❣️Tableau Dashboard and SQL analysis for Mental Health across the world 🧡
CRUD con VB& y Windows Forms
A docker image that includes: ubuntu, java, pig, mysqlserver, maven, git & vim. All useful tools & some instructions to get started with a big data project, the image'll spin up a container vm that'll require little to no configuration so that you can focus more on your real work
Exercises and projects builted in my bootcamp at Ada Tech in Web Full Stack Development.
The ProEventos project was developed to optimize event management. This repository includes the complete proposal for both Front-End and Back-End of an efficient software for managing events, such as lectures.
Sistema de recomendação de filmes para o projeto TCC
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