<commit_before># Scikit Flow

This is a simplified interface for TensorFlow, to get people started on predictive analytics and data mining.

Why TensorFlow?
* TensorFlow provides a good backbone for building different shapes of machine learning applicaitons.
* It will continue evolve both in distributed direction and as a general pipelininig machinery.

Why Scikit Flow?
* To smooth the transition from Scikit Learn world of one-liner machine learning into 
more open world of building different shapes of ML models. You can start by using fit/predict and slide into TensorFlow APIs as you getting comfortable.
* Provide a set of reference models, that would be easy to integrate with existing code.


## Installation

First, make sure you have TensorFlow and Scikit Learn installed, then just run:

    pip install git+git://github.com/google/skflow.git

## Tutorial

* [Introduction to Scikit Flow and why you want to start learning TensorFlow](https://medium.com/@ilblackdragon/tensorflow-tutorial-part-1-c559c63c0cb1)
* More coming soon.

## Usage<commit_msg>Fix typo in readme. Thanks to +ybot1122<commit_after># Scikit Flow

This is a simplified interface for TensorFlow, to get people started on predictive analytics and data mining.

Why TensorFlow?
* TensorFlow provides a good backbone for building different shapes of machine learning applications.
* It will continue evolve both in distributed direction and as a general pipelininig machinery.

Why Scikit Flow?
* To smooth the transition from Scikit Learn world of one-liner machine learning into 
more open world of building different shapes of ML models. You can start by using fit/predict and slide into TensorFlow APIs as you getting comfortable.
* Provide a set of reference models, that would be easy to integrate with existing code.


## Installation

First, make sure you have TensorFlow and Scikit Learn installed, then just run:

    pip install git+git://github.com/google/skflow.git

## Tutorial

* [Introduction to Scikit Flow and why you want to start learning TensorFlow](https://medium.com/@ilblackdragon/tensorflow-tutorial-part-1-c559c63c0cb1)
* More coming soon.

## Usage
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