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intro-to-scikit-learn

:nut_and_bolt: Materials for talk on scikit-learn

investing

Investing Returns on the Market as a Whole

jadd

RStudio addins

janitor

simple tools for data cleaning in R

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

karf

Karf is a simple Machine Learning Library implementing a variety of algorithms

kdd2017r

Tutorial on Scaling R at KDD 2017

kepler.gl

keras

Deep Learning for humans

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

knitcitations

Generate citations for knitr markdown and html files

knitrbootstrap

A framework to create bootstrap styled HTML reports from knitr Rmarkdown.

knob

jquery Knob HTML Widget.

knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

leadr

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

learning-sql

A repository to use as I learn about relational algebra, databases, and SQL

lectures

Oxford Deep NLP 2017 course

lego-rstats

Photos that depict R data structures and operations via Lego

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

listviewer

R htmlwidget to view lists

littlebooks

Materials for the MOSAIC "Teaching Statistics with R and RStudio"

lotr-tidy

Tidy data lesson using Lord of the Rings data.

lucid

A collection of infrastructure and tools for research in neural network interpretability.

luma.gl

WebGL2 Components for Data Visualization

lvplot

Letter value boxplots for R

m4-methods

Includes the source code of the methods which participated in the M4 Competition

m4comp2018

The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

magick

Magic, madness, heaven, sin