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beginner-network-pentesting

Notes for Beginner Network Pentesting Course

cs224d

Contains the problem set solutions from Stanford's cs224d created during self study of that course

cs231n

CS231n Stanford coursework.

dask-tutorial

Dask tutorial

dask-tutorial-odsc-2018

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.

iml

intro-to-dl

Resources for "Introduction to Deep Learning" course.

katacoda-scenarios

Katacoda Scenarios

mlcpp

Set of examples of ML approaches implemented in C++

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

network-analysis-in-python---tutorial-jupytercon18-odsceast18

"Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.

nyc-ds-academy

In-class exercises for Deep Learning course at NYC Data Science Academy

odsc

ODSC Workshop material.

odsc-2018

ODSC East 2018 materials for "Experimental Reproducibility in Data Science with Sacred" workshop

odsc-east-python-2018

Introduction to Python for Data Science for ODSC East 2018

odsc17

https://www.odsc.com/boston

odsc2018_dssoftware

Source code for ODSC East 2018 session: Turning a Data Science Brain Dump into Software

odscwest2017

Win-Vector LLC ODSC West 2017 presentation materials (will be populated by the day of the conference)

programming-with-data

Programming with Data: Python and Pandas

pytorchtutorial

PyTorch Tutorials from my YouTube channel

scikit-learn

scikit-learn: machine learning in Python

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-livelessons

"Deep Learning with TensorFlow" LiveLessons

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

workshops

A few exercises for use at events.