wlopezm-unal

chatbot_langchain

Chatbot using Langchain and Gemini-pro

Chatbot_Langchain_MultiQueryRetriever

chatbot that allows you to interact with your PDF files. When you upload a document, it generates a split and a summary, stored in separate collections within the Qdrant vector database. When you ask a question, two queries are created to search for relevant information in the summary and split, optimizing token usage in the LLM model.

CNN_tensorFlow

Notebook on the use of the VGG19 model of a Convolutional Neural Network (CNN) for image classification of natural scenes. The framework is TensorFlow

COBRO_BANCARIO

Backend using FastApi and CRUD methodology. This project aims to receive data from users, look at bank loan statuses, look at the amount of money requested and approved. On the other hand, it has a notification option sending an email to the user in case the loan cancellation date has passed.

Machine-learning

Modelos de machine learning. you can see different notebook where i worked with machine learning model, data exploring data cleaning.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

portafolio.github.io

portafolio_data_analytics.github.io

reddit_project_airflow_aws

This project focuses on implementing an ETL pipeline using Apache Airflow to efficiently extract data from Reddit, transform it as needed, and load it into an AWS S3 bucket. The use of Airflow allows for robust orchestration of the data workflow, ensuring that each step of the ETL process is executed in a reliable and repeatable manner.

Titanic_ship-streamlit

Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result

wlopezm-unal/chatbot_langchain

Chatbot using Langchain and Gemini-pro

wlopezm-unal/Chatbot_Langchain_MultiQueryRetriever

chatbot that allows you to interact with your PDF files. When you upload a document, it generates a split and a summary, stored in separate collections within the Qdrant vector database. When you ask a question, two queries are created to search for relevant information in the summary and split, optimizing token usage in the LLM model.

wlopezm-unal/CNN_tensorFlow

Notebook on the use of the VGG19 model of a Convolutional Neural Network (CNN) for image classification of natural scenes. The framework is TensorFlow

wlopezm-unal/COBRO_BANCARIO

Backend using FastApi and CRUD methodology. This project aims to receive data from users, look at bank loan statuses, look at the amount of money requested and approved. On the other hand, it has a notification option sending an email to the user in case the loan cancellation date has passed.

wlopezm-unal/Machine-learning

Modelos de machine learning. you can see different notebook where i worked with machine learning model, data exploring data cleaning.

wlopezm-unal/mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

wlopezm-unal/portafolio.github.io

wlopezm-unal/portafolio_data_analytics.github.io

wlopezm-unal/Practice_frontend

This code is frontend to page where its topics is about some show data to Zelda Breath of the wild

wlopezm-unal/Project-airflow-AWSGlue

In this project we can run an ETL in AWS Glue by Orchestrating it with Airflow. This project we create a Docker Compose to raise the services as Airflow, Redis and PostgreSQL. PostgreSQL was use in this project to save metadata get of Airflow

wlopezm-unal/reddit_project_airflow_aws

This project focuses on implementing an ETL pipeline using Apache Airflow to efficiently extract data from Reddit, transform it as needed, and load it into an AWS S3 bucket. The use of Airflow allows for robust orchestration of the data workflow, ensuring that each step of the ETL process is executed in a reliable and repeatable manner.

wlopezm-unal/RPA_Coronavirus

RPA que automatiza la búsqueda y descarga de graficas de diferentes paises en torno a los casos confirmados y las muertes confirmadas, desde el año 2020 hasta la fecha actual

wlopezm-unal/Titanic_ship-streamlit

Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result

wlopezm-unal/web_scraping-with-AWS

It is a project in which the infrastructure is created in AWS using Terraform to create the VPC, EC2, S3, RDS, the security group. This in order to be able to run a web scraping code in EC2 and extract data regarding the English soccer league 2023-2024 and save that information in an S3.

wlopezm-unal/proyecto-tic

RPA process using Aws client. Where the final steps is a bucket S3 where it gonna save this data

wlopezm-unal/WordpressMysqlKubernete

Implementación de MySQL y WordPress en Kubernetes: Descubre cómo desplegar y gestionar eficientemente tu base de datos y tu sitio web en esta plataforma de orquestación de contenedores

wlopezm-unal/World-population-1950-2100

This repository is an RPA where, through web scraping and using the Selenium library, it extracts information about the world population from the years 1950 to 2100 from the website 'https://world-statistics.org' for different countries

wlopezm-unal/zoomcamps

Related documentation about zoomcamp