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deep_learning_cookbook

Deep Learning Cookbox

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningai

Deep Learning AI

deeplearningsandbox

Blog related code for

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

dockerbangalore

All the latest/previous Docker Bangalore Meetup presentations slides, videos and workshops

e-commerce-product-classification

easy-scraping-tutorial

Simple but useful Python web scraping tutorial code.

evolutionary-algorithm

Evolutionary Algorithm using Python

exploratory_data_analysis

flask_api

Creating a Machine Learning API using Flask - Repository for AV Article

folium

Python Data. Leaflet.js Maps.

graph-theory

Plotting Graphs in Python using graphviz

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

hadron-collider-machine-learning

Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

heroku-mylib-deployment

Heroku Backend Deployment for OCR and image collections, PostgreSQL Database with Inverted Indexing for query search

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

intro-to-dl

Resources for "Introduction to Deep Learning" course.

ipython-wiki

manual mirror of ipython-wiki for discussion.

isl-ridge-lasso

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jupyter

Jupyter metapackage for installation, docs and chat

jupyter-notebook-for-data-science

Jupyter Notebook for Data Science, published by Packt

learnanalytics-cisfoundations

The information in this Github Repository is presented by Microsoft on Cortana Intelligence Suite Foundations. These materials are intended to assist you in presenting or learning the materials, and are current as of 4/13/2017. Updates to the platforms or products discussed in this Github Repository do not reflect changes made after the publication date, and you should review the materials to ensure they are still accurate. Microsoft makes no warranty or guarantees of any kind of accuracy of the materials beyond the date posted.

learning-salesforce-einstein

Learning Salesforce Einstein, published by Packt

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-algorithms-from-scratch

Implementing machine learning algorithms from scratch.

machine-learning-aug-2019

Pitampura Batch | Prateek & Mohit

machine-learning-course

Cornell Data Science Training Course Website

machine-learning-online-2018

ML Online Course Repository. Course videos on online.codingblocks.com