kokit0 Goto Github PK

-end-to-end-mlp-with-mlflowv2.0

Same project but with different Dataset as target: Winery Dataset

adf_hol

Repo de miniproyecto Data Factory con Snowflake

deep-learning-with-tensorflow-and-pytorch

📚 Learn ML with clean code, simplified math and illustrative visuals.

end-to-end-mlp-with-mlflow

A Proof of concept of the entire workflow to develope an End To End MLOPS Data Science Project with API UI user stress test, Implementation With Deployment for a Winery dataset ~Kokke

forking-lesson

A Forked Repo to test some features for the Meta Database Engineering Certificate

great-learning---machine-learning-case-studies-2023

m3l2_forking_lab

Forking of the Lab in Week 3 from Version Control

made-with-ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

math-resources

Mi Repo de Mathematics for machine learning

meta-database-engineer

All my assignments, demos, and cheat sheets from the 9 courses in the "Meta Database Engineer Professional Certificate" on Coursera.

mlproject2023

mlprojectv002

New End to End Machine Learning project Kokke's Version 0.2

nw4dayschallenge_atrasovuelos

Machine Learning🤖 Predicción de Atraso en Vuelos: Exploración de datos, modelos de clasificación (XGBoost, SVM), preparación de datos (One-Hot Encoding, PCA), y una interfaz de usuario simple en HTML + Flask. Herramientas utilizadas: Python, scikit-learn, XGBoost, Flask, y Postman.

pdf-extraction-and-querying-using-langchain-and-openai-embeddings

PDF Text Extraction and Querying using LangChain and OpenAI Embeddings.

portfolioproject-nlp_fake_news_classification

This project discusses the applications of natural language processing (NLP), specifically in classification fake news, covering pre-processing techniques such as tokenization, stemming, and lemmatization. finally doing vectorization using TF-IDF. This project also demonstrates the use of a class-based approach for model evaluation and prediction.

test01

GitHub - Getting Started: Testeando github. cómo crear un repoitorio. segun la tarea del curso.

test_repository

Creando un repositorio como prueba

time-series-prediction-with-lstm-recurrent-neural-networks-in-python-with-keras

Kokke’s DSc Projects: Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras:

tokyo-olympics-azure-data-eng-project

Datas Engineer Exploration of the 2021 Tokyo Olympic data using a variety of tools and technologies, with a primary focus on Azure services, Leveraging Azure Data Factory, Data Lake Gen 2, Synapse Analytics, and Azure Databricks to perform data engineering tasks, analysis, and visualization.