Pinned Repositories
credit-risk-analysis
The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.
domain-driven-hexagon
Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included
obsei
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Python
All Algorithms implemented in Python
-EDA-Series
Exploratory Data Analysis, or EDA, is essentially a type of storytelling for statisticians. It allows us to uncover patterns and insights, often with visual methods, within data. EDA is often the first step of the data modelling process
airbnb-price
This project analyzed the factors that may have significant roles in affecting prices, which will provide comprehensive insights about Airbnb rental price valuation across the U.S.
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
allocine_scrapping_data
This algorithm is implemented to scrapping all the movies info of AlloCiné web site
Amazon-scraper-selenium-python
Created an scraper using selenium and python to collect the data from multiple pages on amazon website
angular-contacts-app-example
Full Stack Angular PWA example app with NgRx & NestJS
fredben01's Repositories
fredben01/Nodejs-Real-time-Chat-App
Real Time Chat With NodeJS, Socket.io and ExpressJS
fredben01/project_mern_memories
This is a code repository for the corresponding video tutorial. Using React, Node.js, Express & MongoDB you'll learn how to build a Full Stack MERN Application - from start to finish. The App is called "Memories" and it is a simple social media app that allows users to post interesting events that happened in their lives.
fredben01/obsei
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
fredben01/awesome-css-frameworks
List of awesome CSS frameworks in 2023
fredben01/puck
The self-hosted drag and drop editor for React.
fredben01/ng-journal-insurance-portal
Starter kit for the Nx - Scaling Angular Applications workshop.
fredben01/go-pos
Simple RESTful Point of Sale (POS) Service API written in Go using Gin web framework, PostgreSQL database, and Redis cache.
fredben01/fastbook
The fastai book, published as Jupyter Notebooks
fredben01/battleships
javaScript HTML and CSS
fredben01/data-projects
Some of my personal data projects
fredben01/platform
Reactive State for Angular
fredben01/nestjs-full-auth
NestJS boilerplate, Auth, TypeORM, MySQL, Mailing, Google OAuth20
fredben01/ngrx-leaky-backends
Nx workspace using NgRx store with some hexagonal architecture
fredben01/nest_grpc_tutorial
fredben01/pipeline-s3
pipeline-s3
fredben01/Discord-bot-QR-code-generator
Generate QR Codes in discord chat using slash command.
fredben01/mlops-zoomcamp
Free MLOps course from DataTalks.Club
fredben01/ngrx-playground
fredben01/dmc-api-demo
DEMO-DMC
fredben01/hexagonal-architecture-nestjs-angular
hexagonal nestjs and angular
fredben01/probabilistic-4_model_diet
hoomework upc
fredben01/fine-grained-libs-with-nx
Super fine-grained architecture for Angular apps with Nx
fredben01/cqrs-example
example in .net
fredben01/gateway_pos
gateway_pos tecnichal exams - culqui
fredben01/CleanArchitecture
Clean Architecture Solution Template for .NET 7
fredben01/Microservicios_Group09
fredben01/angular-spotify
https://angular-sopotify.netlify.app/
fredben01/domain-driven-hexagon
Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included
fredben01/angular-signals-demo
Angular v16 Preview, Signals, RxJS-Interop, takeUntilDestroyed(), default exports
fredben01/credit-risk-analysis
The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.