Pinned Repositories
ASCII_image_graphics
Bus_Demand_Prediction
Computer_Networks
CRUD_OPERATIONS
Emotion-Recognition-using-Machine-Learning
Emotion Recognition using Machine Learning is a project focused on identifying and classifying human emotions through machine learning techniques. This repository includes essential components such as data preprocessing, feature extraction, and model training, using algorithm to achieve accurate emotion detection from diverse datasets.
Implementing-ML-Algorithms-from-Scratch
multi_user_chat_application_in_python-master
PixelPerfect-SRCNN
Enhance low-resolution images with AI-powered Super-Resolution Convolutional Neural Network (SRCNN). This repository features a step-by-step implementation, image processing with OpenCV, and evaluation using PSNR, MSE, and SSIM. Perfect for exploring image restoration and super-resolution techniques!
Tic_Tac_Toe-Using-Tkinter-
Workspace_Harrassment
THAMIZH-ARASU's Repositories
THAMIZH-ARASU/Bus_Demand_Prediction
THAMIZH-ARASU/Computer_Networks
THAMIZH-ARASU/Emotion-Recognition-using-Machine-Learning
Emotion Recognition using Machine Learning is a project focused on identifying and classifying human emotions through machine learning techniques. This repository includes essential components such as data preprocessing, feature extraction, and model training, using algorithm to achieve accurate emotion detection from diverse datasets.
THAMIZH-ARASU/Implementing-ML-Algorithms-from-Scratch
THAMIZH-ARASU/PixelPerfect-SRCNN
Enhance low-resolution images with AI-powered Super-Resolution Convolutional Neural Network (SRCNN). This repository features a step-by-step implementation, image processing with OpenCV, and evaluation using PSNR, MSE, and SSIM. Perfect for exploring image restoration and super-resolution techniques!
THAMIZH-ARASU/Tic_Tac_Toe-Using-Tkinter-
THAMIZH-ARASU/Workspace_Harrassment
THAMIZH-ARASU/ASCII_image_graphics
THAMIZH-ARASU/CRUD_OPERATIONS
THAMIZH-ARASU/CustomerServiceDemo
THAMIZH-ARASU/Exploratory-Data-Analysis-on-The-Iris-Data-Set
This repository contains Python code for performing Exploratory Data Analysis (EDA) on the Iris dataset. The Iris dataset is a classic dataset in machine learning and statistics, consisting of 150 samples from each of three species of Iris flowers (Iris setosa, Iris versicolor, and Iris virginica).
THAMIZH-ARASU/Morse-Code-Translator
THAMIZH-ARASU/multi_user_chat_application_in_python-master
THAMIZH-ARASU/organicProductsData
THAMIZH-ARASU/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
THAMIZH-ARASU/DBMS_LAB
THAMIZH-ARASU/Eclipse_workspace_projects
THAMIZH-ARASU/InformationCodingTechniques
THAMIZH-ARASU/InventoryManagementSystem_Swing
THAMIZH-ARASU/java_files
THAMIZH-ARASU/Naive
Simple, Yet a fast Interpreter which is fully build using python. Implemented a shell for executing the code commands. Can also be in a separate file format
THAMIZH-ARASU/open-llms
📋 A list of open LLMs available for commercial use.
THAMIZH-ARASU/OrganicProducts_EcommerceSite
THAMIZH-ARASU/python-patterns
A collection of design patterns/idioms in Python
THAMIZH-ARASU/python_files
THAMIZH-ARASU/ReactTODO
THAMIZH-ARASU/SimpleBankManagement
THAMIZH-ARASU/simpleLLM