Name: Daniel Muñoz-Viveros
Type: User
Company: Universidad Autónoma de Zacatecas
Bio: Master Student || Data Scientist👨🔬📊 and Machine Learning enthusiast💯 || Electronics & Telecommunications Engineer || Python and more Python🐍 ||
Twitter: 16danielvm
Location: Zacatecas, Mexico
Daniel Muñoz-Viveros's Projects
Presentación GitHub Profile.
Análisis de datos utilizando librerías (Pandas, Matplotlib) de Python
Exploratory analysis of the dataset. Identifying variables, checking for missing data, removing outliers, visualizing data distribution, among other actions.
Manipulacion de datos - Gestion de Datos -Visualizacion de Datos - Implementacion modelos de ML
In this notebook, i show a examples to implement imputation methods for handling missing values.
Fundamentos del lenguaje python - Estructuras de control condicional - Estructuras de control iterativas - Funciones
Anàlisis entre la altura y el peso de las personas.
Se crea un sistema de recomendaciòn de hoteles, segun la ubicaciòn y la razòn de la reserva del usuario.
This project shows a guide for improving the accuracy of regression model.
This repository addresses the detection of stress in humans during sleep using machine learning. The repository includes instructions for local setup, details about the dataset, and steps for building and serving the model using Docker.
Implementacion de modelos ML - Supervised y Unsupervised con Python(Scikit-Learn) con diferentes datasets.
Análisis de datos utilizando librerías (Numpy, Pandas, Matplotlib) y aplicacion de modelos ML usando librería (Scikit-Learn) de Python
Machine Learning Completo
This repository addresses the complex task of mask detection. Focused on neural networksouts, the model holds significance in detecting peopel with or without mask.
Repository about MLZoomCamp course
This repository addresses the complex task of multi-class prediction for cirrhosis outcomes, a chronic liver condition characterized by tissue damage. Focused on forecasting diverse outcomes such as severity levels and disease stages, the model holds significance in enhancing personalized healthcare for cirrhosis patients.
I use a random dataset (from the Olympics) and perform data manipulation, analysis, and visualization on that dataset.
Proyectos realizados durante el curso "Data Scientist with Python" de la plataforma DATACAMP
Ejercicios basicos usando OpenCv y Python
Analisis exploratorio de los datos, y prediccion de las ventas, segun publicidad en medio de comunicación.
Implementacion libreria Scikit.Learn con Python, para preprocesamiento de datos y modelos machine learning.
An analysis of the variables that may influence the prediction of restaurant tips is carried out, and additionally, machine learning is implemented to make that prediction.
Extraccion de datos, Transformacion y limpieza de datos, Carga de datos a DB - con Python
Analysis of wine characteristics for subsequent classification according to the type of wine (White or Red).