Juan Pa's Projects
[EFREI] - Apache Spark - Dataset of data on the sales prices of Apple products in different countries
# IBM Applied Data Science Capstone graded module works and projects on SpaceX API with COURSERA.ORG
😎 Awesome list of tools and projects with the awesome LangChain framework
PHP API wrapper to http://www.bedca.net/bdpub/ public foods database.
💬 Personal AI application powered by GPT-4 and beyond, with AI personas, AGI functions, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy and gift #big-AGI-energy! Using Next.js, React, Joy.
Examples used in Google Cloud Storage documentation.
OpenRefine reconciliation services for VIAF, ORCID, and Open Library + framework for creating more.
Quiz & Assignment of Coursera
DataCamp data-science courses
Database schema for e-commerce (webstores) sites.
GeoNames Reconciliation Service for OpenRefine/LODRefine/Google Refine
In todays world, technology is most important in every field. In each and every field the computer technology is used. One of the field in which we use technology is in the sales department. In sales department, we identify and develop a predictive models i.e., objects detection and prediction. Predictive analytics helps to find new markets for products and services. Identifying company’s best clients and predicting customer churn are two strengths of predictive analytics. It is vital to find alternative methods which are easier to implement and work with different datasets, cheaper, that can produce a more reliable prediction. Our is project is combined of several machine learning algorithms which include YOLO for the object detection LOGISTIC REGRESSION for the prediction. Suppliers in business-to-business markets increasingly are seeking growth by providing end-to-end solutions to customers. There are three overarching types of uncertainities among customers and suppliers i.e., *need certainity *process uncertainity and *outcome uncertainity. Determining what predictive modeling techniques are best for our company is key to getting the most out of a predictive analytics solution and leveraging data to make insightful decisions. Predictive analytics algorithms try to achieve the lowest error possible by either using boosting or bagging subsets. So, in our project we will be using different machine learning algorithms for object detection, damage detection and prediction of the objects
Incident Accuracy Reporting System (IARS) is a Content Management application that addresses the issue of transparency surrounding police incident reporting by allowing witnesses and/or victims to directly submit evidence (images, videos)
An AI personal assistant for your digital brain
An Obsidian Plugin utilizing various OpenAI APIs to help you (audibly, visually, and contextually) capture and document lectures, talks, and otherwise inside of Obsidian.
Examples and guides for using the OpenAI API
Test and deploy your LLM prompts in a data-driven way on an open-source and self-hostable platform
OSBEX: Open Source BORME Explorer es una plataforma abierta de explotación de datos del Boletín Oficial del Registro Mercantil de España
This repository is a demostration of how to create a github repositorey and propertly setup
Capstone update project IBM WATSON
thehivefullcomposerinstall
Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.