Reza Mosavi's repositories
car-price-prediction-regression-exercise
First exercise on simple linear regression and working with numpy and scikit-learn
Covid-Dataset-Analysis
Analysis and review of the Covid dataset for EDA practice in pandas, numpy, and matplotlib and practice working with data.
Numerical-Analysis
This repository contains homework solution of the Numerical analysis lesson at Shahid Beheshti University.
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.
BehshtiFoodBackend
This project is related to the backend of a food ordering website and management of a restaurant website designed with fastapi.
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)
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.
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.
OnlineNewsPopularity-analysis
This exercise is the first series of machine learning course at Shahid Beheshti University. This exercise is for regression.
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.
KD_tree-implemention
Implementation of KD tree for the final project of the data structure and algorithms course
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
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.
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.
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.
AI-Wumpus-Adventure-Reinforcement-Learning-in-Action
Building artificial intelligence wumpus game with reinforcement learning and using Q-Learning algorithms
BrainScanApp
This program is the application of the image processing course project at Shahid Beheshti University, which is written in Java language for Android.
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.
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-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."