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forecastr

A flask app that leverages Facebook Prophet to provide people with the ability to build simple baseline forecasts from within a guided user interface

free-algorithm-books

gap_statistic

Dynamically get the suggested clusters in the data for unsupervised learning.

gcp-ml-engine

My ML Engine noodlings

gemini-benchmark

gentle-intro-to-web-scraping

This is the code to my Gentle Intro to Web Scraping series. Enjoy!

geo-heatmap

:world_map: Generate an interactive geo heatmap from your Google location data

getting-started-python

Code samples for using Python on Google Cloud Platform

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

ggcharts

Shorten the distance from data visualization idea to actual plot

ggplot2

An implementation of the Grammar of Graphics in R

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

git-handout

Short git reference/handout

google-airflow-premier-league

Data Warehousing Made Easy with Google BigQuery and Apache Airflow

google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

gps_data_with_python

Slides of my talk "Handling GPS data with Python" at the EuroPython 2016 in Bilbao

gsutil

A command line tool for interacting with cloud storage services.

gt

Easily generate information-rich, publication-quality tables from R

h2o

For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-2nd-edition

Book Projects

hands-on-microservices-with-node.js

Hands-On Microservices with Node.js, by Packt publishing

handson-ml

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

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.

home_repo

Getting started, tips, previous talks, and materials

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

ibolang

programming language in Igbo

image-classification-web-app-using-pytorch-and-streamlit

A simple web demo with minimal framework using PyTorch and Streamlit to showcase an image classification model

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

installations_mac_ubuntu_windows

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).