johnbhalstead Goto Github PK

basic-gaussian-mixture-models

Python file with Gaussian Mixture models

briq

NLP in R that creates an order of merit list for construction bids

ccuk-postal-code-mapper

Converts Lat/Long information into UK Postal Codes

classification-lift-chart

A theoretical lift chart to evaluation multiple classification models on their evaluation or test data predictions. The chart is set for ten deciles, but can be modified for requirement.

dask

Parallel computing with task scheduling

dave

R ML Code written for Dave.com

engage3

Basic Python file that joins two data tables and conducts pivot table operations

image_digit_signature

Improved jupyter notebook Python code for creating a classifier that recognizes the image digit of five as presented in Geron's 2nd edition "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow".

lime_experiment

Python code for Lime feature explanations by row using public Wisconsin breast cancer data on four SkiLearn classifiers

playing_with_keras_tf

rotating-3d-clusters

R file for clustering, 3D graphing, rotating, and creating a movie

scilearn-classifier-example

scilearn classification function approximation performance on scikit-learn's moon, circle, and linear data

shakespeare

R file that creates a NLP corpus from Shakespeare writing

shap-waterfall

shap_experiment

Shap experiment Python code using the Wisconsin Breast Cancer Data. Four classification models developed with and without the K-means feature transformation. Resulting plots and a shap value matrix are included.

shapwaterfall

signature_multi_class

skilearn_looped_classifiers

sol-id-basic-clusters

Python file for creating basic clusters

tensorflow_stock_predictor

A basic Tensor Flow model to predict stock prices. It currently is coded for my company's stock, VMW. But can be generalized for others.

treeinterpreter

Python Tree Interpreter applied to public WI Breast Cancer Data