coreyjwade

3-Point_Net_Gain

Introducing 3NG, a comprehensive 3-point metric combining accuracy and volume

amazonBooks

pandas/Jupyter Notebook for ranking reviewers

bca_datasets

BIS_Enrollment

Data Analysis of BIS Enrollment with Regression, StatsModel, Bootstrapping and Confidence Intervals

Helpful_Reviews

Predict helpful reviews and star ratings with new helpful rating metric and Logistic Regression.

NYC_Cab_Fare

Predict New York City cab fares with Neural Nets, Random Forests and LightGBM.

odsc

For Nov. 1 ODSC West Attendees

ODSC_West_2023

For those attending Introducing Machine Learning with Scikit-learn on Oct. 30, 2023

YourClock

Complete version of YourClock currently in iOS App Store, recently migrated from BitBucket.

coreyjwade/odsc

For Nov. 1 ODSC West Attendees

coreyjwade/ODSC_West_2023

For those attending Introducing Machine Learning with Scikit-learn on Oct. 30, 2023

coreyjwade/3-Point_Net_Gain

Introducing 3NG, a comprehensive 3-point metric combining accuracy and volume

coreyjwade/bca_datasets

coreyjwade/Helpful_Reviews

Predict helpful reviews and star ratings with new helpful rating metric and Logistic Regression.

coreyjwade/BIS_Enrollment

Data Analysis of BIS Enrollment with Regression, StatsModel, Bootstrapping and Confidence Intervals

coreyjwade/NYC_Cab_Fare

Predict New York City cab fares with Neural Nets, Random Forests and LightGBM.

coreyjwade/YourClock

Complete version of YourClock currently in iOS App Store, recently migrated from BitBucket.

coreyjwade/bookReviews

BookReviews_DataSet contains first exploration of Helpful_Reviews

coreyjwade/coreyjwade.github.io

coreyjwade/data

Data and code behind the articles and graphics at FiveThirtyEight

coreyjwade/fractions_class

This is a fractions class in progress.

coreyjwade/Future_User_Adoption

Use ML to predict factors most likely to influence future user adoption including RFE and feature_importances_.

coreyjwade/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn-

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

coreyjwade/hbs

Early version of YourClock. Originally known as Happy Billionth Second.

coreyjwade/heart_disease

coreyjwade/jupyterNotebooks

A few notes from an image recognition project.

coreyjwade/my_projects

coreyjwade/neural_nets

coreyjwade/pathstream_colab_datasets

Publicly available datasets.

coreyjwade/pathstreamdata

coreyjwade/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

coreyjwade/python_projects

For .py files in Python.

coreyjwade/python_projects_bca

For all Python Projects generated in the BCA Fall 2020 class.

coreyjwade/pythonworkshop

coreyjwade/Racial_Discrimination

Exploratory Data Analysis on Racial Discrimination in US Job Market using Frequentist and Bootstrapping methods.

coreyjwade/The-Python-Workshop

A New, Interactive Approach to Learning Python

coreyjwade/ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

coreyjwade/ultimate_data_science_challenge

coreyjwade/XGBoost_Packt

Documents that will be summarized for Packt Publishing to publish Hands-On Gradient Boosting with XGBoost and Scikit-learn