emykes's Stars
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
mdeff/fma
FMA: A Dataset For Music Analysis
ResidentMario/geoplot
High-level geospatial data visualization library for Python.
aleximmer/Laplace
Laplace approximations for Deep Learning.
temporaer/tutorial_ml_gkbionics
A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012
onimur/onimur
emykes/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.
anishmahapatra/masters-machine-learning-1
Codes encompassing topics on the realm of linear regression (simple and multiple), logistic regression and clustering using pca
emykes/SkinCancerImageClassification
The aim of this project is to use Convolutional Neural Networks (CNNs) to distinguish dermoscopic images of malignant skin lesions from benign lesions.
emykes/ds-classification_workflow_demo-pdu32
emykes/dsc-phase-3-choosing-a-dataset
emykes/DSLE-0830-Pipelines-ClassificationEvaluation
emykes/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.
Shoemaker703/time_series_project