Discover WillKoehrsen/recurrent-neural-networks Open Source project

1

Data-Analysis

Data Science Using Python

Jupyter Notebook

5,159

2

feature-selector

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

Jupyter Notebook

2,218

3

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

1,106

4

wikipedia-data-science

Working with and analyzing Wikipedia Data

Jupyter Notebook

691

5

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Jupyter Notebook

618

6

Machine-Learning-Projects

Machine Learning Experiments and Work

Jupyter Notebook

616

7

automated-feature-engineering

Automated feature engineering in Python with Featuretools

Jupyter Notebook

520

8

Bokeh-Python-Visualization

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

Jupyter Notebook

362

9

ai-projects

Artificial Intelligence projects, documentation and code.

Jupyter Notebook

358

10

probabilistic-programming

Experimenting with and teaching probabilistic programming

Jupyter Notebook

104

11

Hands-On-Machine-Learning

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

Jupyter Notebook

84

12

data-science-for-good

Data Science for Good Projects

Jupyter Notebook

49

13

Udacity-Data-Analyst-Nanodegree

All Code and resources for the Udacity Data Analyst Nanodegree

HTML

37

14

jupyter-notebook-extensions

Developing new jupyter notebook extensions

JavaScript

34

15

taxi-fare

Work related to the Kaggle Taxi Fare prediction challenge

Jupyter Notebook

26

16

classic_computer_science

Classic Computer Science Problems with Python

Jupyter Notebook

26

17

kaggle-automated-feature-engineering

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

Jupyter Notebook

18

mastering-large-datasets

Work for Mastering Large Datasets with Python

Python

18

19

discovering-disease-outbreaks-base

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

18

20

emissions-explorer

Data Visualization Application created for Hack CWRU V

Jupyter Notebook

18

21

prediction-documentation

Work related to predicting building energy consumption

Jupyter Notebook

17

22

data-structures-and-algorithms-coursera

Materials and assignments for Coursera Course: data structures and algorithms

Python

14

23

deep-learning-v2-pytorch

Jupyter Notebook

14

24

airbus

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

Jupyter Notebook

12

25

fastai-numerical-linear-algebra

Jupyter Notebook

11

26

deep-reinforcement-learning-course

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

Jupyter Notebook

9

27

neural-networks

Projects related to deep learning

Jupyter Notebook

9

28

Coursera-Machine-Learning-Specialization

Home for all Coursera Machine Learning Resources and Projects

Jupyter Notebook

9

29

reality-project

Becoming less wrong about the world through data

8

30

quora-classification

Work related to the Quora question classification challenge

Jupyter Notebook

8

31

Portfolio

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

Jupyter Notebook

8

32

autoencoders

Learning about and practicing with autoencoders.

Jupyter Notebook

7

33

Assorted-Python-Learning-

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

Python

7

34

numer-ai

Work for taking on the numer.ai machine learning competition

Jupyter Notebook

7

35

Udacity-Machine-Learning-Nanodegree

Jupyter Notebook

6

36

kaggle-credit-data-science-competition

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

Jupyter Notebook

6

37

eecs-491

Materials and projects for EECS 491 AI: Probablistic Graphical Models

Jupyter Notebook

6

38

python-visualization

Exploring Python visualization options

Jupyter Notebook

6

39

eecs-531

Materials and projects for EECS 531: Computer Vision

Jupyter Notebook

5

40

dimension-reduction-experiment

Experimenting with various methods for dimenion reduction

Python

5

41

courses-automated-feature-engineering

Shell

5

42

project-spotify-enlight

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

JavaScript

5

43

astro-class

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

Jupyter Notebook

5

44

weighter

Development of the weight tracker application

Jupyter Notebook

4

45

power-laws

Work for the data driven Power Laws Competition

Jupyter Notebook

4

46

nyserda-proptech-challenge

Work for the NYSERDA Proptech Data Challenge

Python

3

47

Udacity-Deep-Learning-Google

Udacity Deep Learning Course created by Google

3

48

ud120-projects

Machine Learning Problem Sets for Udacity Data Analyst Nanodegree

Jupyter Notebook

3

49

z-emissions-explorer

Jupyter Notebook

3

50

deep_learning_with_python

Work and Datasets Related to the book Deep Learning with Python

3

51

rinse-over-run

DataDriven "rinse over run" competition work

Jupyter Notebook

3

52

Kaggle

2

53

reflections

Udacity Version Control and Git Reflection Questions

2

54

Sun-Sensor

NEA Scout sun sensor testing work.

MATLAB

2

55

Coursera-Deep-Learning-Specialization

All Resources and Projects for the Coursera Deep Learning Specialization

2

56

eecs-391

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

HTML

2

57

driven-data-cloud-cover

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

Jupyter Notebook

2

58

default-willkoehrsen.github.io

CSS

2

59

podcasts

Retrieving and Managing Podcasts

Python

1

60

dbt-tutorial

1

61

slack-keep-presence

Ruby

1

62

drive-interaction

Interact with Google Drive from command line and Python

Python

1

WillKoehrsen/recurrent-neural-networks

WillKoehrsen

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recurrent-neural-networks

Setup using docker and docker-compose

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