Will Koehrsen

Data-Analysis. Data Science Using Python

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

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!

wikipedia-data-science. Working with and analyzing Wikipedia Data

Machine-Learning-Projects. Machine Learning Experiments and Work

hyperparameter-optimization. Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

automated-feature-engineering. Automated feature engineering in Python with Featuretools

recurrent-neural-networks. Learning about and doing projects with recurrent neural networks

ai-projects. Artificial Intelligence projects, documentation and code.

Bokeh-Python-Visualization. A Bokeh project developed for learning and teaching Bokeh interactive plotting!

pytorch_challenge. Jupyter Notebook

probabilistic-programming. Experimenting with and teaching probabilistic programming

Hands-On-Machine-Learning. Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

data-science-for-good. Data Science for Good Projects

Udacity-Data-Analyst-Nanodegree. All Code and resources for the Udacity Data Analyst Nanodegree

jupyter-notebook-extensions. Developing new jupyter notebook extensions

classic_computer_science. Classic Computer Science Problems with Python

deep-learning-v2-pytorch. Jupyter Notebook

taxi-fare. Work related to the Kaggle Taxi Fare prediction challenge

prediction-documentation. Work related to predicting building energy consumption

mastering-large-datasets. Work for Mastering Large Datasets with Python

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

emissions-explorer. Data Visualization Application created for Hack CWRU V

discovering-disease-outbreaks-base. Starter repository for Manning PBC: Discovering and Tracking Disease Outbreaks with Data Science and Python

data-structures-and-algorithms-coursera. Materials and assignments for Coursera Course: data structures and algorithms

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

willkoehrsen.github.io. Personal website with projects, articles, and about

fastai-numerical-linear-algebra. Jupyter Notebook

Coursera-Machine-Learning-Specialization. Home for all Coursera Machine Learning Resources and Projects

neural-networks. Projects related to deep learning

deep_learning_cookbook. Deep Learning Cookbox

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

quora-classification. Work related to the Quora question classification challenge

reality-project. Becoming less wrong about the world through data

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

handson-ml. A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

autoencoders. Learning about and practicing with autoencoders.

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

eecs-491. Materials and projects for EECS 491 AI: Probablistic Graphical Models

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

kaggle-credit-data-science-competition. Collection of Work Completed for the Kaggle Home Credit Default Risk machine learning competition in 2018

Udacity-Machine-Learning-Nanodegree. Jupyter Notebook

python-visualization. Exploring Python visualization options

clearance. Rails authentication with email & password.

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

wikirec. NLP recommendation engine based on Wikipedia data

geospatial-public-policy-analysis-with-geopandas. PyCon 2020 tutorial "GeoSpatial Public Policy Analysis with GeoPandas"

courses-automated-feature-engineering. Shell

Python-Deep-Learning-Cookbook. Python Deep Learning Cookbook, published by Packt

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

weighter. Development of the weight tracker application

power-laws. Work for the data driven Power Laws Competition

Udacity-Deep-Learning-Google. Udacity Deep Learning Course created by Google

deep_learning_with_python. Work and Datasets Related to the book Deep Learning with Python

reflections. Udacity Version Control and Git Reflection Questions

HackCWRU-Website. JavaScript

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