anudeep13

anudeep13

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anudeep13's repositories

Practical_RL

A course in reinforcement learning in the wild

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CreditRiskAnalytics

Predicting the default customers

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machine_learning_examples

A collection of machine learning examples and tutorials.

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Plotly-Dashboards-with-Dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

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Strategic-Business-Analytics-Specialization

Offered by ESSEC Business School via Coursera

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caffe

Caffe: a fast open framework for deep learning.

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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!

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

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deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

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TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

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deep-learning-resources

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

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spark

Mirror of Apache Spark

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jupyter

Jupyter metapackage for installation, docs and chat

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courses-1

fast.ai Courses

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

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udacity-deep-learning

Udacity Deep Learning MOOC assignments

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opencv-machine-learning

Machine Learning for OpenCV

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udacity-data-analyst

Project work for the Udacity Data Analyst Nanodegree

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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.

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mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

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spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

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h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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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).

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ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

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neural-networks-and-deep-learning

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

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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

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