emykes Goto Github PK

dsle-083021-linearregression-validationevaluation

dsle-083021-linearregressionassumptions

dsle-083021-oop-practice

dsle-083021-phase-5-warm-ups

dsle-083021-phase1codechallengereview

dsle-083021-phase2codechallengereview

dsle-083021-phase3codechallengereview

dsle-083021-phase4-nn-review

dsle-083021-phase4codechallengereview

dsle-083021-phase4part1review

dsle-083021-pre-work-review

dsle-083021-preworkreview-pairprogramming

dsle-083021-timeseriesreview

dsle0830-linearregression-statsmodelssklearn

dspt-week20-logisticregressioncasestudy

emykes

energy_consumption_prediction

flu_vaccination_ml

The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.

git_practice

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.

housing_analysis

html5-semantic-elements-v2-1

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

laplace

Laplace approximations for Deep Learning.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

movie_data_analysis_project

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

neural-network-architecture-diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

oop-regressor-seattle-ds-012720