Build a platform in Django related to predictive modeling and analytical methods to compete for the best model for table data in a closed environment.

This project is conducted as a part of Udacity Data Analyst Nanodegree. The purpose of this project is to perform exploratory data analysis, then create a presentation with explanatory charts that conveys findings and insights from the data set provided.

Udacity Data Analyst Nanodegree Program 4th Project - Wrangle and Analyze Data

Custom Jupyter notebook exporter that can use pgfplots instead of images for plots.

Udacity Data Analyst Nanodegree Program 5th Project - Communicate Data Finding

nbconvert as a web service: Render Jupyter Notebooks as static web pages

nbconvert utility packaged to distribute via NPM

Automatically generate reports based on a custom Jupyter notebook template given one or multiple user inputs.

Custom exporter of nbconvert for R kernel

Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Fundamentals of Data Analysis (COMP07084)

Templates for nbconvert

Singularity container with nbconvert for conversion of jupyter notebooks to other formats

A jupyter notebook config to automatically create/update a README.md after save notebook

A pre-commit hook for exporting notebook reports before clearing the outputs.

Simple RESTful API to nbconvert. Also includes built-in web interface

Create a custom nbconvert template

an interactive webpage generated by inserting some widgets into the jupyter notebook

This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process. "Part I : Exploratory Data Visualization" and "Part II : Explanatory Data Visualization".

Red Neuronal partícipe del proyecto "Reconocimiento de cantos de aves" del programa de SS "Desarrollo de sistemas inteligentes usando deep learning" en el Laboratorio L52+, dirigido por el Dr. Ivan Vladimir Meza Ruiz en el IIMAS, UNAM.