Pinned Repositories
AirBnB_clone
A collaborative project featuring a command-line interpreter for managing Airbnb objects, paving the way for a comprehensive web application integrating HTML/CSS templating, database storage, API integration, and front-end development.
AirBnB_clone_v2
A Python-based endeavor using SQLAlchemy for database management, aimed at replicating Airbnb's accommodation rental platform with comprehensive tasks covering model creation, console command development, and deployment workflows.
AirBnB_clone_v3
AirBnB Clone v3 - RESTful API is a Python and Flask-based implementation of a RESTful API for managing property rental resources, emphasizing CRUD operations and API development principles.
AirBnB_clone_v4
AirBnB Clone v4: A dynamic web implementation enabling users to search and filter rental properties based on various criteria.
alx-data_science-NLP
Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.
alx-data_science-regression
Agricultural Yield and Population Forecasting: Utilizing machine learning to enhance crop yield and predict global population trends, informing sustainable development and policy decisions.
alx-data_science-SQL
Leveraging SQL and data analysis to uncover corruption and optimize water services at Maji Ndogo.
alx-data_science-unsupervised
A comprehensive exploration of unsupervised learning techniques, including clustering and dimensionality reduction, applied to real-world data science projects.
alx-data_science-Visualization
Unveil critical societal dynamics in Maji Ndogo through compelling Power BI-driven data visualizations and storytelling.
predict-bike-sharing-demand
Leveraging AutoGluon, this project predicts bike sharing demand by integrating advanced automated machine learning techniques with extensive data exploration and hyperparameter optimization.
paschalugwu's Repositories
paschalugwu/alx-data_science-python
Enhancing Farming in Maji Ndogo: Leveraging data science and AI to boost crop yield, sustainability, and resource efficiency.
paschalugwu/alx-data_science-unsupervised
A comprehensive exploration of unsupervised learning techniques, including clustering and dimensionality reduction, applied to real-world data science projects.
paschalugwu/pet-image-classification
Using deep learning models to accurately classify pet images into different breeds and types, demonstrating effective image classification and model evaluation.
paschalugwu/alx-data_science-NLP
Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.
paschalugwu/alx-data_science-regression
Agricultural Yield and Population Forecasting: Utilizing machine learning to enhance crop yield and predict global population trends, informing sustainable development and policy decisions.
paschalugwu/alx-data_science-SQL
Leveraging SQL and data analysis to uncover corruption and optimize water services at Maji Ndogo.
paschalugwu/alx-data_science-Visualization
Unveil critical societal dynamics in Maji Ndogo through compelling Power BI-driven data visualizations and storytelling.
paschalugwu/predict-bike-sharing-demand
Leveraging AutoGluon, this project predicts bike sharing demand by integrating advanced automated machine learning techniques with extensive data exploration and hyperparameter optimization.
paschalugwu/alx-backend
ALX Backend Projects encompass specialized back-end tasks including pagination, caching, internationalization (i18n), and implementing a queuing system in JavaScript.
paschalugwu/alx-backend-javascript
ALX Backend JavaScript repository focusing on ES6 features, TypeScript, Node.js, Express.js, and unit testing.
paschalugwu/alx-backend-python
ALX Backed Python involves tackling advanced Python projects, emphasizing variable annotations and asynchronous programming.
paschalugwu/alx-backend-storage
ALX Backend Storage repository featuring advanced projects in MySQL, NoSQL, and Redis.
paschalugwu/alx-backend-user-data
ALX Backed User Data Project focuses on handling and protecting user data with modules including personal data management and various forms of authentication.
paschalugwu/alx-files_manager
This project is a file management platform using Node.js, Express, Redis, and MongoDB. It supports user authentication, file upload, and management. Redis handles session management and caching, while MongoDB stores user and file data. The platform ensures secure authentication, efficient file handling, and robust error handling.
paschalugwu/alx-higher_level_programming
ALX Higher Level Programming repository focusing on Python projects covering data structures, exceptions, modules, classes, inheritance, and SQL integration.
paschalugwu/alx-interview
ALX Coding Interview Challenges involve solving a variety of coding interview questions covering algorithms, data structures, and problem-solving techniques.
paschalugwu/alx-low_level_programming
ALX Low Level Programming in C curriculum covering fundamentals, data structures like linked lists and hash tables, and advanced topics such as dynamic memory allocation and file operations.
paschalugwu/alx-system_engineering-devops
ALX System Engineering DevOps repository covering Linux shell basics, permissions, networking, web infrastructure, configuration management, SSH, web servers, load balancers, SSL, API development, and web stack debugging.
paschalugwu/ambrosial-webapp
Ambrosial is a multi-lingual Flask-based web application that provides user account management, post creation, messaging, and error handling, enhancing user interaction and experience through a comprehensive suite of features.
paschalugwu/binary_trees
Binary Trees project from ALX School covering binary tree fundamentals, traversal methods, and types like complete, full, perfect, and balanced trees.
paschalugwu/Bioinformatics-Jobs-2024-Report
A comprehensive data-driven analysis of global bioinformatics job trends, salaries, and skill demands for 2024.
paschalugwu/building-handwritten-digit-classifier
Developed a high-accuracy character recognition system using the MNIST dataset and a fully connected neural network, achieving 97.49% accuracy.
paschalugwu/Developing-ML-Workflows-On-AWS
Developed an image classification model for Scones Unlimited to identify delivery vehicles (bicycles vs. motorcycles) to enhance routing and loading bay assignments, thereby optimizing operational efficiency.
paschalugwu/flowers-image-classification
Develop an AI application for classifying flower species using deep learning, featuring data preprocessing, model training, and inference capabilities.
paschalugwu/Landmark-Classification
Building and deploying a convolutional neural network (CNN) for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques.
paschalugwu/monty
Developed a C-based interpreter for Monty ByteCodes files, featuring a unique stack data structure and specific instructions for stack manipulation and bytecode execution.
paschalugwu/Paschal_SE-DS_Notes
Comprehensive, continuously updated notes and resources on Data Science and Software Engineering, covering APIs, Python, SQL, DevOps, and more.
paschalugwu/paschalugwu
paschalugwu/paschalugwu.github.io
paschalugwu/RSA-Factoring-Challenge
Undertook the RSA Factoring Challenge, employing algorithmic techniques to factorize numbers into prime factors, exploring both standard and advanced tasks.