diff --git a/7-TimeSeries/3-SVR/README.md b/7-TimeSeries/3-SVR/README.md index cf500558..679bd6b5 100644 --- a/7-TimeSeries/3-SVR/README.md +++ b/7-TimeSeries/3-SVR/README.md @@ -24,7 +24,7 @@ In the last lesson you learned about ARIMA, which is a very successful statistic The first few steps for data preparation are the same as that of the previous lesson on [ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA). -Open the _/working_ folder in this lesson and find the _notebook.ipynb_ file.[^2] +Open the [_/working_](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/3-SVR/working) folder in this lesson and find the _notebook.ipynb_ file.[^2] 1. Run the notebook and import the necessary libraries: [^2] @@ -383,4 +383,4 @@ This lesson was to introduce the application of SVR for Time Series Forecasting. [^1]: The text, code and output in this section was contributed by [@AnirbanMukherjeeXD](https://github.com/AnirbanMukherjeeXD) -[^2]: The text, code and output in this section was taken from [ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA) \ No newline at end of file +[^2]: The text, code and output in this section was taken from [ARIMA](https://github.com/microsoft/ML-For-Beginners/tree/main/7-TimeSeries/2-ARIMA)