G Mendes's repositories
machine-learning
My machine-learning projects (notebooks)
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
CC0-1.0000
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Language:Jupyter NotebookMIT000
GWU_data_mining
Materials for GWU DNSC 6279 and DNSC 6290
Language:Jupyter Notebook000
hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
Language:TeXCC-BY-4.0000
interpretable_machine_learning_with_python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
Language:Jupyter Notebook000
ml-projects
PyTorch Image Classification, Customer Segmentation & Charity ML Classification
Language:Jupyter NotebookMIT000
summer2017-BigData-hw1
Big Data Course Homework 1
Language:Python000
summer2017-BigData-hw2
Big Data Course Homework 2
Language:Jupyter Notebook000
ud120-projects
Starter project code for students taking Udacity ud120
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Language:Jupyter NotebookApache-2.0000