samir-zade Goto Github PK
Name: Samir Zade
Type: User
Bio: Undergraduate Data Science Student | Python, C | Machine Learning | FrontEnd Web Development
Name: Samir Zade
Type: User
Bio: Undergraduate Data Science Student | Python, C | Machine Learning | FrontEnd Web Development
This project aims to predict forest fires in Algeria using machine learning techniques and provide a user-friendly web application for real-time monitoring.
This repository contains implementations of various machine learning models for both classification and regression tasks. It serves as a comprehensive resource for understanding and experimenting with different algorithms in supervised learning.
This repository serves as a comprehensive resource hub for exploring the world of data visualization techniques, tools, and best practices using numpy, pandas, matplotlib, seaborn and plotly
This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
This project focuses on predicting the likelihood of diabetes in individuals using logistic regression, a powerful machine learning algorithm. Additionally, we have developed a user-friendly web application that allows users to input relevant health metrics and receive instant predictions regarding their risk of diabetes.
By leveraging pipelines, artifacts, logging, EDA, exception handling, and other components, the Diamond Price Prediction project provides a robust and scalable solution for predicting diamond prices, empowering stakeholders in the diamond industry to make data-driven decisions with confidence.
This repository contains resources and code examples related to Feature Engineering and Exploratory Data Analysis (EDA) techniques in the field of data science and machine learning.
I utilized Python in this repository to learn everything from the fundamentals to the ideas of object-oriented programming, which gave me a thorough understanding of the language's capabilities and many functions.
This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.
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.