Arj9978
I'm a graduate student specializing in Structural Engineering at Sharif University of Technology. On here to learn, get insights into different fields of AI
Tehran
Pinned Repositories
Chromatic-Challenge-Noise-Effects-on-CNN-Color-Classification
Explore the effects of noise on CNN color classification in this repository. Discover how Convolutional Neural Networks respond to variations in image quality caused by different levels of noise. Dive into the code, dataset, visualizations, and findings of our investigation. Join us in unraveling the impact of chromatic chaos on color recognition.
Churn-Modeling-with-Decision-Trees
This repository is dedicated to churn modeling using decision trees, a popular machine learning algorithm for classification problems. Churn modeling refers to the task of predicting customer churn, which is the phenomenon of customers ceasing their relationship with a business or service provider.
Energy-Consumption-Prediction-Time-Series-Analysis-with-Machine-Learning
Gradio-Crack-Detection
The Gradio-Crack Detection repository is an open-source project designed to classify images based on the presence of cracks. Cracks can occur in various materials and structures, such as buildings, pavements, or objects, and it is important to detect them accurately for maintenance and safety purposes.
GTSRB-Sign-Detection-CNN-vs.-Transfer-Learning
Welcome to the GTSRB Sign Detection repository! This project focuses on traffic sign detection using two different approaches: Convolutional Neural Networks (CNN) and Transfer Learning with state-of-the-art models VGG19, EfficientNetB7, and NASNetLarge.
Huggingface
Description: Welcome to the Huggingface Playground repository! This repository serves as a dynamic hub for exploring the capabilities and advancements of the Huggingface library, a powerful toolkit for natural language processing (NLP) tasks.
Iris-Flower-Type-Prediction
This repository contains a Streamlit application for predicting the types of Iris flowers based on their sepal and petal measurements. The Iris flower dataset is a classic machine learning dataset that is commonly used for introductory classification tasks.
Multi-Label-Text-Classification-for-Supplies-Catalog
Welcome to the Multi-Label Text Classification for Supplies Catalog repository! 📚✨ In this project, we explore the exciting realm of natural language processing (NLP) by tackling the complex task of multi-label text classification in the context of a supplies catalog.
multi_label_text_classification
Multi-label text classification
Product-Recommendations-using-Word2Vec
Welcome to the "Product Recommendations using Word2Vec" repository! 🛍️
Arj9978's Repositories
Arj9978/Churn-Modeling-with-Decision-Trees
This repository is dedicated to churn modeling using decision trees, a popular machine learning algorithm for classification problems. Churn modeling refers to the task of predicting customer churn, which is the phenomenon of customers ceasing their relationship with a business or service provider.
Arj9978/Chromatic-Challenge-Noise-Effects-on-CNN-Color-Classification
Explore the effects of noise on CNN color classification in this repository. Discover how Convolutional Neural Networks respond to variations in image quality caused by different levels of noise. Dive into the code, dataset, visualizations, and findings of our investigation. Join us in unraveling the impact of chromatic chaos on color recognition.
Arj9978/Energy-Consumption-Prediction-Time-Series-Analysis-with-Machine-Learning
Arj9978/Gradio-Crack-Detection
The Gradio-Crack Detection repository is an open-source project designed to classify images based on the presence of cracks. Cracks can occur in various materials and structures, such as buildings, pavements, or objects, and it is important to detect them accurately for maintenance and safety purposes.
Arj9978/GTSRB-Sign-Detection-CNN-vs.-Transfer-Learning
Welcome to the GTSRB Sign Detection repository! This project focuses on traffic sign detection using two different approaches: Convolutional Neural Networks (CNN) and Transfer Learning with state-of-the-art models VGG19, EfficientNetB7, and NASNetLarge.
Arj9978/Huggingface
Description: Welcome to the Huggingface Playground repository! This repository serves as a dynamic hub for exploring the capabilities and advancements of the Huggingface library, a powerful toolkit for natural language processing (NLP) tasks.
Arj9978/Iris-Flower-Type-Prediction
This repository contains a Streamlit application for predicting the types of Iris flowers based on their sepal and petal measurements. The Iris flower dataset is a classic machine learning dataset that is commonly used for introductory classification tasks.
Arj9978/Multi-Label-Text-Classification-for-Supplies-Catalog
Welcome to the Multi-Label Text Classification for Supplies Catalog repository! 📚✨ In this project, we explore the exciting realm of natural language processing (NLP) by tackling the complex task of multi-label text classification in the context of a supplies catalog.
Arj9978/multi_label_text_classification
Multi-label text classification
Arj9978/Product-Recommendations-using-Word2Vec
Welcome to the "Product Recommendations using Word2Vec" repository! 🛍️
Arj9978/Stackoverflow-2022-Salary-Prediction-with-LightGBM
Welcome to the "Stackoverflow 2022 Salary Prediction" repository! In this project, we aim to predict the salaries of Stackoverflow users for the year 2022 using a popular and powerful machine learning model called LightGBM.
Arj9978/Tehran-House-Price-Prediction-with-XGBoost
This repository provides a comprehensive solution for predicting the prices of houses in Tehran using the 'Divar' dataset and employing the XGBoost machine learning algorithm. The project aims to assist individuals, real estate agents, and property investors in estimating the market value of residential properties in Tehran.
Arj9978/Titanic-Survival-Prediction
Welcome to the Streamlit Titanic Survival Prediction repository! This interactive web application is designed to predict the survival chances of passengers aboard the RMS Titanic, one of the most famous maritime disasters in history.