rezamosavi8740 Goto Github PK

advanced-feature-engineering

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.

ai-wumpus-adventure-reinforcement-learning-in-action

Building artificial intelligence wumpus game with reinforcement learning and using Q-Learning algorithms

analysis-of-ames-housing-dataset

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.

analysis-of-us-accidents-dataset

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.

assin4_1

behshtifoodbackend

This project is related to the backend of a food ordering website and management of a restaurant website designed with fastapi.

brainscanapp

This program is the application of the image processing course project at Shahid Beheshti University, which is written in Java language for Android.

car-price-prediction-regression-exercise

First exercise on simple linear regression and working with numpy and scikit-learn

cartoonize-image

compress-images-with-k-means

the code showcases how the K-means clustering algorithm can be used to compress an image in various color spaces (LAB, HSV, and XYZ)

covid-dataset-analysis

Analysis and review of the Covid dataset for EDA practice in pandas, numpy, and matplotlib and practice working with data.

detect-tuberculosis-chest-x-ray-dataset

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.

divar

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

face-detection

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.

global-covid-19-data-exploration

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.

hotel-management-project-java

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.

image-classification-using-resnet-zfnet

This project demonstrates image classification using ResNet and ZFNet architectures. It includes training scripts, model definitions, and examples to classify images into predefined categories.

implementation-linear-regression-mse-from-scratch

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.

implementation-linear-regression-normal-equation-from-scratch.

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.

implementation-of-multilayer-perceptron-mlp-from-scratch-using-numpy

"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."

kd_tree-implemention

Implementation of KD tree for the final project of the data structure and algorithms course

library-assignment-ap-series-3

model-selection-in-credit-card-transaction-analysis

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

movie-recommender-system

This is the Final Project of Machine Learning Course

numerical-analysis

This repository contains homework solution of the Numerical analysis lesson at Shahid Beheshti University.

onlinenewspopularity-analysis

This exercise is the first series of machine learning course at Shahid Beheshti University. This exercise is for regression.

othello

OTHELLO project of the Basic Programming Course at Shahid Beheshti University

recommendation-system

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.

remove-noise-from-image

rezamosavi8740

Config files for my GitHub profile.