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bayesian_inference_pymc3

Jupyter Python notebook from conference talk on Bayesian inference with PyMC3.

bullpen

The bullpen is a collection of homemade functions and procedures for general use

creating_customer_segments_with_arvato

The data and design for this project were provided by Arvato Financial Services. I will apply unsupervised learning techniques on demographic and spending data for a sample of German households. I will preprocess the data, apply dimensionality reduction techniques, and implement clustering algorithms to segment customers with the goal of optimizing customer outreach for a mail order company.

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

finding_donors

The finding_donors project is a Udacity Supervised Learning project to find donors for fictitious charity 'CharityML'

kaggle_titanic_project

My first cut at a Kaggle ML competition. Initial commit will use cookie cutter sklearn, and I'll build on it from there to improve test accuracy.

ldl

Learning Deep Learning

missing-data-workshop

Matt Brems' Missing Data Workshop

nlp_fundamentals

odsc-reinforcement-tutorial

ox_102_classifier_bt

Transfer Learning Deep Learning Classifier Project for Oxford 102 Flowers dataset

python-data-viz-workshop

A 3-hour workshop on data visualization in Python with notebooks and exercises for following along.

self-driving-car

The Udacity open source self-driving car project

sharing_isl_python

An Introduction to Statistical Learning with Applications in PYTHON

spiking_nn_demo

Demo notebooks for Spiking Neural Network concepts inspired by BindsNet

tensorflow-livelessons

"Deep Learning with TensorFlow" LiveLessons

visualbert

Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"