There are 1 repository under modular-programming topic.
Visualize Dart/Flutter library dependencies in Graphviz dot. Detect dependency cycles.
Tv Shows Webapp that fetches, stores and display data from APIs
Streamlit app that takes input from user and predict a face match with bollywood actor.:smile::smile:
Proyecto de la Materia: Programacion para Mecatronicos. Este proyecto consiste en simular el manejo de una pequena tienda.
A Kaggle Advance House Price Prediction Competition in Modular Format. :house: :moneybag:
Webapp that predict whether a claim is a fraudulent or not by asking user to put a csv file as mention in schema.json.
Web app which detect whether a person has a hypothyroid or not. Here user will give csv input as mentioned in schema file and according to that this app will predict.:hospital:
GUI that prompts a user to input their ClientID, EmpId, Name and phone number and prompt user to take the image. After taking a image there is a option to train and also a predict is there so that user s attendence is taken.:office:
Twitter sentiment analysis using the sentiment140 dataset
Tiddlywiki component is a group of TW macros and tiddlers create a visual element for complex processes.
A GUI application, which comprises 4 widgets: a Calculator, a To-Do List, a Countdown Timer and a Rock-paper-scissors game.
This is a Bash-built, dependency-free SPA framework which allows for a modular programming experience using HTML, CSS and JavaScript.
Projeto em Grupo para a disciplina de Programação Modular na Graduação em Ciência da Computação na PUC-Rio.
Desenvolvimento do raciocínio lógico por meio do formalismo de algoritmos, abordando os princípios da representação e manipulação da informação. A disciplina aborda os conceitos referentes a representação de algoritmos, tipos de dados, identificadores, operadores, expressões e estruturas de controle.
C++ Production Line Simulation System
Comprehensive resource for those interested in Python programming, Data Science, Data Analysis, Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI)
This repository serves as a showcase for my data science projects, demonstrating a project on classification on HDPE and PET plastic bottle waste using convolution neural networks
A full stack classification machine learning project.
Waste detection using YOLOv5 presents a promising approach for automating waste identification, classification, and localization. Its real-time capabilities, high accuracy, and adaptability make it a valuable tool for waste management, environmental monitoring, and robotic applications.
Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment
Introduction Project to Meathods & Calls
Developed and implemented a software system that uses purchasing transaction data of bank customers to detect fraudulent behaviors using functional programming and modular programming to perform descriptive statistics on dataset
currently built for visualition of tensorflow skelton images for good productivity
This is a DiamondPricePrediction project with fully automated pipelines, logging, exception handling and with setup module.
we have come across many shells: sh, bash, csh etc... this is a customized shell as ALX C project, it's name is hsh
DCL-235: Effective Java Programming
DCL-235: Effective Java Programming
A C project CMake template for professional uses (embedded MCUs, embedded Intel, embedded android, game dev).
Library that helps to create modules that can be easily integrated in different project types
Repository that contains different samples that show how to use the InterAppConnector library
Modular-Programming-with-Python Code
In this Repo i have used all possible machine learning algorithms and problem statement is Regression
🥘 MobileNetV2-FoodClassifier achieves 93.14% accuracy in image classification with web-scraped food images, offering deployment guidance for local and TensorFlow Lite conversion for mobile and edge devices.
Image-based plant disease detection systems hold immense promise for revolutionizing agriculture by enabling early detection, precise control, and sustainable management of plant diseases, leading to increased crop yields, improved food quality, and enhanced economic benefits for farmers.