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Will Koehrsen (@WillKoehrsen)

WillKoehrsen

Stars
12,913
Global Rank 1,552 (Top 0.06 %)
Followers 4,517
Following 2
Registered over 8 years ago
Most used languages

Jupyter Notebook
72.7 %

Python
12.7 %

JavaScript
3.6 %

HTML
3.6 %

Shell
1.8 %

CSS
1.8 %

Ruby
1.8 %

MATLAB
1.8 %
Location 🇺🇸 United States
Country Total Rank 807
Country Ranking

Jupyter Notebook
28

HTML
3,387

MATLAB
4,834

Data-Analysis

Data Science Using Python

Jupyter Notebook

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

Jupyter Notebook

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

Jupyter Notebook

wikipedia-data-science

Working with and analyzing Wikipedia Data

Jupyter Notebook

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Jupyter Notebook

Machine-Learning-Projects

Machine Learning Experiments and Work

Jupyter Notebook

automated-feature-engineering

Automated feature engineering in Python with Featuretools

Jupyter Notebook

recurrent-neural-networks

Learning about and doing projects with recurrent neural networks

Jupyter Notebook

Bokeh-Python-Visualization

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Jupyter Notebook

ai-projects

Artificial Intelligence projects, documentation and code.

Jupyter Notebook

probabilistic-programming

Experimenting with and teaching probabilistic programming

Jupyter Notebook

Hands-On-Machine-Learning

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

Jupyter Notebook

data-science-for-good

Data Science for Good Projects

Jupyter Notebook

Udacity-Data-Analyst-Nanodegree

All Code and resources for the Udacity Data Analyst Nanodegree

jupyter-notebook-extensions

Developing new jupyter notebook extensions

taxi-fare

Work related to the Kaggle Taxi Fare prediction challenge

Jupyter Notebook

classic_computer_science

Classic Computer Science Problems with Python

Jupyter Notebook

kaggle-automated-feature-engineering

Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition

Jupyter Notebook

mastering-large-datasets

Work for Mastering Large Datasets with Python

discovering-disease-outbreaks-base

Starter repository for Manning PBC: Discovering and Tracking Disease Outbreaks with Data Science and Python

emissions-explorer

Data Visualization Application created for Hack CWRU V

Jupyter Notebook

prediction-documentation

Work related to predicting building energy consumption

Jupyter Notebook

data-structures-and-algorithms-coursera

Materials and assignments for Coursera Course: data structures and algorithms

deep-learning-v2-pytorch

Jupyter Notebook

airbus

Work related to the Airbus Ship Detection Challenge https://www.kaggle.com/c/airbus-ship-detection

Jupyter Notebook

fastai-numerical-linear-algebra

Jupyter Notebook

deep-reinforcement-learning-course

Following along with the course at https://simoninithomas.github.io/Deep_reinforcement_learning_Course/#syllabus

Jupyter Notebook

neural-networks

Projects related to deep learning

Jupyter Notebook

Coursera-Machine-Learning-Specialization

Home for all Coursera Machine Learning Resources and Projects

Jupyter Notebook

reality-project

Becoming less wrong about the world through data

quora-classification

Work related to the Quora question classification challenge

Jupyter Notebook

Portfolio

Projects, reports, and design work completed on the job, with engineering teams, and for coursework.

Jupyter Notebook

autoencoders

Learning about and practicing with autoencoders.

Jupyter Notebook

Assorted-Python-Learning-

Code I have written for tutorials in order to learn Python.

numer-ai

Work for taking on the numer.ai machine learning competition

Jupyter Notebook

Udacity-Machine-Learning-Nanodegree

Jupyter Notebook

kaggle-credit-data-science-competition

Collection of Work Completed for the Kaggle Home Credit Default Risk machine learning competition in 2018

Jupyter Notebook

eecs-491

Materials and projects for EECS 491 AI: Probablistic Graphical Models

Jupyter Notebook

python-visualization

Exploring Python visualization options

Jupyter Notebook

eecs-531

Materials and projects for EECS 531: Computer Vision

Jupyter Notebook

dimension-reduction-experiment

Experimenting with various methods for dimenion reduction

courses-automated-feature-engineering

project-spotify-enlight

Following tutorial: https://enlight.nyc/projects/build-a-spotify-widget

astro-class

Taking on the astronomical classification challenge https://www.kaggle.com/c/PLAsTiCC-2018

Jupyter Notebook

weighter

Development of the weight tracker application

Jupyter Notebook

power-laws

Work for the data driven Power Laws Competition

Jupyter Notebook

nyserda-proptech-challenge

Work for the NYSERDA Proptech Data Challenge

Udacity-Deep-Learning-Google

Udacity Deep Learning Course created by Google

ud120-projects

Machine Learning Problem Sets for Udacity Data Analyst Nanodegree

Jupyter Notebook

z-emissions-explorer

Jupyter Notebook

deep_learning_with_python

Work and Datasets Related to the book Deep Learning with Python

rinse-over-run

DataDriven "rinse over run" competition work

Jupyter Notebook

Kaggle

reflections

Udacity Version Control and Git Reflection Questions

Sun-Sensor

NEA Scout sun sensor testing work.

Coursera-Deep-Learning-Specialization

All Resources and Projects for the Coursera Deep Learning Specialization

eecs-391

For projects and resources related to EECS 391 at CWRU Fall 2017.

driven-data-cloud-cover

https://www.drivendata.org/competitions/83/cloud-cover/

Jupyter Notebook

default-willkoehrsen.github.io

podcasts

Retrieving and Managing Podcasts

dbt-tutorial

slack-keep-presence

drive-interaction

Interact with Google Drive from command line and Python