Merge pull request #2 from PythonWorkshop/giri_tf_v1

Adding some notes to README.

Author: dmclark53

README.md

@@ -5,7 +5,7 @@ In this tutorial the steps needed to clean a dataset and prepare it for modeling
 This tutorial includes several machine learning terms. To get a good mathematical understanding of these concepts, please read the Math Primer.
 
 ## Installation Notes
-There are a few packages you will need in order to run this tutorial. We recommend installing the miniconda environment, which makes the installation process quite easy. Please see the README file for this mornings session for instructions on how to install miniconda.
+There are a few packages you will need in order to run this tutorial. We recommend installing the miniconda environment, which makes the installation process quite easy. Please see the [README](https://github.com/PythonWorkshop/intro-to-sklearn) file for this mornings session for instructions on how to install miniconda.
 
 In order to run this tutorial, you will need the following Python packages:
 * numpy
@@ -15,12 +15,20 @@ In order to run this tutorial, you will need the following Python packages:
 * skflow
 * tensorflow
 
+(skflow is not part of tensorflow ??)
+
 The first five packages can be installed with the following command:
 
 ```
 pip install numpy pandas seaborn sklearn skflow
 ```
 
+Alternatively if you are using conda you can do:
+
+```
+conda install numpy pandas seaborn scikit-learn
+```
+
 For TensorFlow, the installation depends on your environment. Below are installation instructions. For detailed instuctions, please see the TensorFlow [README](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md) file.
 
 ### NOTE: