alvinthai

ggridges

Ridgeline plots in ggplot2

spectrify

Export Redshift data and convert to Parquet for use with Redshift Spectrum or other data warehouses.

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

training

Training materials for Strata, AMP Camp, etc

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

spark-install

Installation guide for Apache Spark + Hadoop on Mac/Linux

BTYDplus

R package for Customer Behavior Analysis

plotnine

A Grammar of Graphics for Python

bqplot

Plotting library for IPython/Jupyter notebooks

Pseudo-Labelling---A-Semi-supervised-learning-technique

cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

master-the-tidyverse-solutions

Solutions for exercises in Master the Tidyverse

master-the-tidyverse

Course contents for Master the Tidyverse

scala_school

Lessons in the Fundamentals of Scala

setup.py

📦 A Human's Ultimate Guide to setup.py.

mlr

Machine Learning in R

luminol

Anomaly Detection and Correlation library

awesome_time_series_in_python

This curated list contains python packages for time series analysis

docker-workshop

evaluating-recommenders

Compute and plot NDCG for a recommender system

ggradar

radar charts with ggplot2

DataSciencePython

common data analysis and machine learning tasks using python

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning

awesome-R

A curated list of awesome R packages, frameworks and software.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

planout

PlanOut is a library and interpreter for designing online experiments.

forecast

Forecasting Functions for Time Series and Linear Models

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

auto-sklearn

Automated Machine Learning with scikit-learn

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)