anudeep13's repositories
Practical_RL
A course in reinforcement learning in the wild
CreditRiskAnalytics
Predicting the default customers
machine_learning_examples
A collection of machine learning examples and tutorials.
Plotly-Dashboards-with-Dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
Strategic-Business-Analytics-Specialization
Offered by ESSEC Business School via Coursera
caffe
Caffe: a fast open framework for deep learning.
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - initially originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his PhD!
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
deep-learning-resources
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
spark
Mirror of Apache Spark
jupyter
Jupyter metapackage for installation, docs and chat
courses-1
fast.ai Courses
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
udacity-deep-learning
Udacity Deep Learning MOOC assignments
opencv-machine-learning
Machine Learning for OpenCV
udacity-data-analyst
Project work for the Udacity Data Analyst Nanodegree
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.
mooc-setup
Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress (part of Springer Science+Business Media).
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
learning-social-media-analytics-with-r
This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt