Update to installation notes

Add link to offline installation guide.

README.md

@@ -102,7 +102,7 @@ docker run \
 
 ## Installation
 
-For installing this SSE on a machine without Internet access, use the instructions [here](offline-install/README.md).
+This installation requires Internet access. To install this SSE on a machine without Internet access refer to the [offline installation guide](offline-install/).
 
 1. Get Python from [here](https://www.python.org/downloads/release/python-368/). Make sure you get the 64 bit version. Remember to select the option to add Python to your PATH environment variable.
 

docs/Prophet.md

@@ -193,7 +193,7 @@ The `Prophet_Seasonality` function also allows you to add holidays to the foreca
 
 Prophet allows for the use of [Additional Regressors](https://facebook.github.io/prophet/docs/seasonality,_holiday_effects,_and_regressors.html#additional-regressors) for multivariate timeseries forecasting. This means that you can cater for the effect of multiple variables on the forecast, possibly improving the accuracy in modelling more complex timeseries.
 
-The values used as additional regressors need to be numeric and avaialble for both the past and future. So these need to be known quantities, e.g. events on known dates, or values that have been predicted elsewhere, e.g. by a machine learning model or an external source.
+The values used as additional regressors need to be numeric and available for both the past and future. So these need to be known quantities, e.g. events on known dates, or values that have been predicted elsewhere, e.g. by a machine learning model or an external source.
 
 The sample app [Sample-App-Prophet-Multivariate.qvf](Sample-App-Prophet-Multivariate.qvf) provides examples of applying these techniques in the frontend as well as the load script.
 

docs/README.md

@@ -102,6 +102,8 @@ docker run \
 
 ## Installation
 
+This installation requires Internet access. To install this SSE on a machine without Internet access refer to the [offline installation guide](../offline-install).
+
 1. Get Python from [here](https://www.python.org/downloads/release/python-368/). Make sure you get the 64 bit version. Remember to select the option to add Python to your PATH environment variable.
 
 2. You'll also need a recent C++ compiler as this is a requirement for the `pystan` library used by `fbprophet`. One option is to use [Microsoft Visual C++ Build Tools](https://visualstudio.microsoft.com/downloads/#build-tools-for-visual-studio-2017). If you are having trouble finding the correct installer try [this direct link](https://www.visualstudio.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=15). An alternative is to use the `mingw-w64` compiler as described in the [PyStan documentation](http://pystan.readthedocs.io/en/latest/windows.html).