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adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

artificial-neural-networks-with-jupyter

Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook

blogdown

Create Blogs and Websites with R Markdown

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

chartbuilder

A front-end charting application that facilitates easy creation of simple beautiful charts

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

coursera

coursera-ml

Completed assignments from Coursera Machine Learning course - March 2014

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

datasciencer

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

datasets

A collection of datasets of ML problem solving

deep-learning-a-z-hands-on-artificial-neural-network

Codes and Templates from the SuperDataScience Course

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

depy2016

dplyr

Dplyr: A grammar of data manipulation

ggplot-intro

Workshop on data visualisation with ggplot2

ggthemeassist

An RStudio addin for ggplot2 theme tweaking

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ipython-notebooks

A collection of IPython notebooks covering various topics.

ipythontheanotutorials

islr-python

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

jupyter

Jupyter metapackage for installation, docs and chat

learndatascience

Open Content for self-directed learning in data science

loan-prediction-analyticsvidya

solution to the question loan prediction ?

machine-learning-algroithm-tutorial

Basic Introduction of ML algorithms in R.

machine-learning-coursera

Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.

machine-learning-coursera-1

This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.