Daniel Muñoz-Viveros's repositories
MLZoomCamp
Repository about MLZoomCamp course
Implementacion-Modelos-Machine-Learning
Implementacion de modelos ML - Supervised y Unsupervised con Python(Scikit-Learn) con diferentes datasets.
16danielvm
Presentación GitHub Profile.
An-lisis-de-Datos-con-Python
Análisis de datos utilizando librerías (Pandas, Matplotlib) de Python
Analisis-DatasetHouse
Exploratory analysis of the dataset. Identifying variables, checking for missing data, removing outliers, visualizing data distribution, among other actions.
Ciencia-de-Datos-con-Python
Manipulacion de datos - Gestion de Datos -Visualizacion de Datos - Implementacion modelos de ML
Different-Imputation-Methods-to-Handle-Missing-Data
In this notebook, i show a examples to implement imputation methods for handling missing values.
Hotel-Reviews
Se crea un sistema de recomendaciòn de hoteles, segun la ubicaciòn y la razòn de la reserva del usuario.
Human-Stress-Detection-in-and-through-Sleep
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.
Mask-Detection---Neural-Networks
This repository addresses the complex task of mask detection. Focused on neural networksouts, the model holds significance in detecting peopel with or without mask.
Multi-Class-Prediction-of-Cirrhosis-Outcomes
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.
OlympicsDatasetWork
I use a random dataset (from the Olympics) and perform data manipulation, analysis, and visualization on that dataset.
Waiter_Tips
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.
Wine_Classification
Analysis of wine characteristics for subsequent classification according to the type of wine (White or Red).
EjerciciosPython
Fundamentos del lenguaje python - Estructuras de control condicional - Estructuras de control iterativas - Funciones
Height-vs-Weight
Anàlisis entre la altura y el peso de las personas.
How-to-improve-the-accuracy-of-a-Regression-Model
This project shows a guide for improving the accuracy of regression model.
Machine-Learning-aplicado-con-Python
Análisis de datos utilizando librerías (Numpy, Pandas, Matplotlib) y aplicacion de modelos ML usando librería (Scikit-Learn) de Python
Machine-Learning-Completo
Machine Learning Completo
Proyectos-Trabajados---Data-Scientis-with-python---DATACAMP
Proyectos realizados durante el curso "Data Scientist with Python" de la plataforma DATACAMP
Python-y-OpenCv
Ejercicios basicos usando OpenCv y Python
Sales_Prediction
Analisis exploratorio de los datos, y prediccion de las ventas, segun publicidad en medio de comunicación.
Sckit-Learn-for-Machine-Learning
Implementacion libreria Scikit.Learn con Python, para preprocesamiento de datos y modelos machine learning.
Web-Scrapping
Extraccion de datos, Transformacion y limpieza de datos, Carga de datos a DB - con Python