LQuartz27's repositories
15-minute-apps
15 minute (small) desktop apps built with PyQt
202104
Algoritmos de Clasificación
box-plots-sklearn
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
clean-code-python-es
Guía en español: Clean Code Python
ColorRef
La famosa teoría del color 🎨 llevada a código para ayudar a simplificar las elecciones del artista 👩🎨 dándole opciones y sugerencias sobre que Colores usar en su trabajo 🖌
curso-webscrapping-con-xpath-
curso webscrapping con xpath by platzi
Proyecto-Cafeteria-Brioche
Proyecto para: Ciclo de desarrollo de software - MisionTIC2022
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Django-3-by-Example
Django 3 by Example, published by Packt
Intelligent-Projects-Using-Python
Intelligent Projects Using Python, published by Packt
Learn-Data-Structures-and-Algorithms-with-Golang
Learn Data Structures and Algorithms with Golang, published by Packt
MisionTIC2022
MisionTIC2022 Repository
ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
nare-app
Web App utilizada para ejecutar funcionalidades soporte para la homologación de pozos. Proyecto NARE
notes-on-causal-inference
Some notes on Causal Inference, with examples in python
platzi-mongo
En este repositorio se encuentra el código del proyecto platzi-mongo.
practical-docker-with-python
Source Code for 'Practical Docker with Python' by Sathyajith Bhat
practical-statistics-for-data-scientists
Code repository for O'Reilly book
public-apis
A collective list of free APIs for use in software and web development.
pwptemp
pwptemp
seaborn-data
Data repository for seaborn examples
The-Complete-Python-and-PostgreSQL-Developer-Course
The Complete Python and PostgreSQL Developer Course, published by Packt
Time-Series-EDA-and-Forecast
In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data contains mostly categorical variables and components of the vectors from the description column. The index column is a timeseries format. The major objective of this section is to understand the general trends in the data, and gain some quick insights, and then predict and forcast the Sales of the category "Technology" of the given sales data.The statistical significance of these observations will be also tested in 'Exploratory Data Analysis'.
web-apis-with-python
Code repository for exercises in the eBook WebAPI Development with Python