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Name: Reza Mosavi
Type: User
Company: shahid beheshti university
Bio: computer science student SBU
Twitter: Reza_Mosavi_
Location: Thran Iran
Name: Reza Mosavi
Type: User
Company: shahid beheshti university
Bio: computer science student SBU
Twitter: Reza_Mosavi_
Location: Thran Iran
Advanced Feature Engineering with Embedding Techniques. Learn data preprocessing, scaling, and handling categorical variables. Explore embedding methods like TF-IDF for text feature extraction. Create powerful features with polynomial and interaction techniques. Practical examples using popular machine-learning libraries.
Building artificial intelligence wumpus game with reinforcement learning and using Q-Learning algorithms
This is the first exercise in the data science course at Shahid Beheshti University. In this exercise, we will analyze and review data as well as statistical tests.
This is the first exercise in the data science course at Shahid Beheshti University. In this exercise, we will analyze and review data as well as statistical tests.
This project is related to the backend of a food ordering website and management of a restaurant website designed with fastapi.
This program is the application of the image processing course project at Shahid Beheshti University, which is written in Java language for Android.
First exercise on simple linear regression and working with numpy and scikit-learn
the code showcases how the K-means clustering algorithm can be used to compress an image in various color spaces (LAB, HSV, and XYZ)
Analysis and review of the Covid dataset for EDA practice in pandas, numpy, and matplotlib and practice working with data.
In the project, it is related to the identification of radiological photographs in which tuberculosis patients are diagnosed. Among the main challenges in this project are data imbalance and data preprocessing and implementing deep learning models to solve it.
This program is the final project of advanced programming course in Shahid Beheshti University, which is implemented with Java language. The main parts of this program Microservices, Database and Socket Programming
The provided Python code uses the OpenCV library and the Haar Cascade classifier to detect faces in an image. It then draws rectangles around the detected faces and displays the result using matplotlib.
Discover global COVID-19 insights through our Git project using the Our World in Data dataset. Covering 218 countries, the dataset spans 350,000 entries and 67 variables. The second series is tailored for Shahid Beheshti University's Data Science course. Join us in unraveling pandemic complexities.
It is a Hotel Management tool which can be used to manage activites like storing customer details, booking rooms of four different types, ordering food for particular rooms, unbooking rooms and showing the bill.
This project demonstrates image classification using ResNet and ZFNet architectures. It includes training scripts, model definitions, and examples to classify images into predefined categories.
This repository contains a Python implementation of a simple Linear Regression model. Linear Regression is a supervised machine learning algorithm used for predicting numeric values based on a linear relationship between the input features and the target variable.
This repository contains a Python implementation of Normal Linear Regression, a supervised machine learning algorithm used for predicting numeric values based on a linear relationship between input features and the target variable.
"Explore Multilayer Perceptron (MLP) from scratch with NumPy. First exercise of Shahid Beheshti University's Neural Network course. Analyze various activation functions and optimization methods for convergence speed."
Implementation of KD tree for the final project of the data structure and algorithms course
Explore model selection in credit card transaction analysis with Reza Mousavi's Git project. Addressing class imbalance, it employs undersampling and features tree-based models, SVM, and logistic regression for effective fraud detection
This is the Final Project of Machine Learning Course
This repository contains homework solution of the Numerical analysis lesson at Shahid Beheshti University.
This exercise is the first series of machine learning course at Shahid Beheshti University. This exercise is for regression.
OTHELLO project of the Basic Programming Course at Shahid Beheshti University
This repository serves as a comprehensive exploration and exercise in the field of data science, conducted as part of the Data Science course at Shahid Beheshti University. The primary goal of the work is to delve into the realms of recommender systems, specifically focusing on collaborative filtering and content-based methods.
Config files for my GitHub profile.
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.