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introduction-to-derivatives-lab-data-science-intro-000

introduction-to-functions-lab-data-science-intro-000

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jupyter-notebook-introduction-data-science-intro-000

keras-gan

Keras implementations of Generative Adversarial Networks.

king-county-housing

learn-co-sandbox

list_comprehensions_study_group

A study group for Flatiron data science students on list comprehensions in Python

map-filter-lab-python-data-science-intro-000

map-readme-python-data-science-intro-000

materials

Bonus materials, exercises, and example projects for our Python tutorials

mayapythonplugin

Basic Maya Python Plugin

mcomputation

MComputation - Maya C++

mglearn

mglearn helper package for "Introduction to Machine Learning with Python"

mining-strava

Simple Python scripts to collect Strava data and plot the results

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml_models

Implementation of machine learning models by Python with Tensorflow. ArcFace/UNet/ACoL

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mnist-sample

An example mnist model for Gradient to demonstrate TensorFlow model parsing, distributed training, and more.

mugshots

An art project using generative adversarial network (GAN)

multinode-mnist

Simple multinode MNIST example

multivariable-calculus-gradient-descent-data-science-intro-000

multivariable-functions-data-science-intro-000

mundana-theme-jekyll

Mundana is a free Jekyll theme, Medium styled.

nearest-neighbors-lab-data-science-intro-000

nearest-neighbors-readme-data-science-intro-000

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

news-content-api

API to calculate the reliability accuracy of a given news content.

news-content-capstone-project

Analyzing news content whether its authenticity or not

newsapi-python

A Python Client for News API