appsstuff Goto Github PK
Name: Appsstuff Solutions
Type: User
Company: Appsstuff Solutions
Bio: Muhammad Yassein
Location: Egypt
Blog: http://www.appsstuff.net
Name: Appsstuff Solutions
Type: User
Company: Appsstuff Solutions
Bio: Muhammad Yassein
Location: Egypt
Blog: http://www.appsstuff.net
Apps10
Demos and examples from course Introduction to Spring 5 provided by IPT - Intellectual Products & Technologies
Ahmed
Docker container for Whatsapp\Chat-API repository
This is the code for "Iphone XS Supply Chain" By Siraj Raval on Youtube
This project employs Spring Boot and Spring Data JPA to demonstrate how to successfully read and execute a SQL statement by key from a properties file.
Comprehensive web app for real time gold price forecasting -FULL STACK PROJECT
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
FastAPI-based gold price prediction system using machine learning. Trained model and API for seamless usability. 📈🤖
Creating a model to analyze and predict the trend of the prices of gold.
Basic Statistical Analysis over Past few Year data on Gold Price Hikes, Data modeling (Linear Regression) to Predict the Price With GUI python Application
Welcome to my Gold Price Prediction Portfolio! This project focuses on predicting the future prices of gold using machine learning, particularly the Random Forest algorithm. The prediction model is implemented in a web application using Python Flask for backend development and HTML for the frontend.
By using sklearn linear_model we are predicting the price of gold from our dataset
Gold price forecasting using time series is a statistical technique that involves analyzing historical data to predict future trends in the price of gold. This approach relies on mathematical models to identify patterns and trends in the data and use them to make predictions about future prices.
Generated Java code for Google APIs
Hands-On Microservices with Spring Boot and Spring Cloud, published by Packt
JavaWindowsServices
jugmk static website using jekyll
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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.