Name: Pedro A. Moreno-Sanchez
Type: User
Company: Tampere University (Finland)
Bio: eHealth PhD researcher, PMP®. Currently, specialized into AI and Machine Learning fields to apply data science to IT healthcare projects.
Location: Tampere
Blog: https://es.linkedin.com/in/pedroamoreno
Pedro A. Moreno-Sanchez's Projects
IBM AI Enterprise Workflow Capstone
Project to create a CKD predictor using the public dataset of UCI Machine Learning Repository:https://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease
Python code of CollabIoT Moodle exercises
Source Code for Android Course Example Applications
Skeletons and Tests - Programming Mobile Applications for Android Handheld Systems
Cheat Sheets
Deep learning for 12-lead ECG interpretation (Emmanuel workk)
Interpretable AI models to identify cardiac arrhythmias and explainability in ShAP. (Emmanuel work)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repository is about the capstone project of the IBM Professional Certificate on Coursera
Notebooks included in IBM's Coursera Course "Python for Data Science and AI"
An exercise about applying ML to data set from kaggle
Pieces of code that could be used among differents ML projects
ECGparser for PerCard project
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Data Science Handbook: full text in Jupyter Notebooks
Proyecto de CORE 2015 y @NodeMOOC
Research study to develop an automated pipeline that handle data preparation (missing data, encoding, feature selection) and modelling (classification) phases
This repo is for demonstration purposes only.
A Proxy-Based Algorithm for Explaining Survival Models with SHAP
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"