WinstonDodson

accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

binder_test

this a test of the Binder app

code_snippets

Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data

Data Sets for Machine Learning Practice

dataviz

A book covering the fundamentals of data visualization

dfencoder

elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

enhancement_proposals

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

WinstonDodson/accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

WinstonDodson/binder_test

this a test of the Binder app

WinstonDodson/code_snippets

WinstonDodson/Complete-Python-3-Bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

WinstonDodson/data

Data Sets for Machine Learning Practice

WinstonDodson/dataviz

A book covering the fundamentals of data visualization

WinstonDodson/dfencoder

WinstonDodson/elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

WinstonDodson/enhancement_proposals

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

WinstonDodson/feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

WinstonDodson/Feature-Engineering-Made-Easy

Feature Engineering Made Easy, published by Packt

WinstonDodson/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

WinstonDodson/handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

WinstonDodson/Ideal-Gas-Simulation-To-Verify-Maxwell-Boltzmann-distribution

Simulation of an Ideal Gas to Verify Maxwell-Boltzmann distribution

WinstonDodson/Medium-SoftClusteringWeights

Code and data to accompany the Medium article on soft k-means weights

WinstonDodson/MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

WinstonDodson/mltutorial

Machine Learning Tutorial in IPython Notebooks

WinstonDodson/numpy-snippets

WinstonDodson/plotly-tutorial

This Jupyter Notebook condenses the Plotly API into one easy to use document with examples

WinstonDodson/project_source_data

WinstonDodson/public_open_source_projects

This is a public repo for open source public projects

WinstonDodson/pycaret

An open-source, low-code machine learning library in Python

WinstonDodson/pyclustering

pyclustring is a Python, C++ data mining library.

WinstonDodson/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

WinstonDodson/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

WinstonDodson/U-Net_Lung-Segmentation

Application of U-Net in Lung Segmentation-Pytorch