From d27ba5669e9eb1301aa928c389ed69f585cfdcdb Mon Sep 17 00:00:00 2001 From: pelinkeskin <86728061+pelinkeskin@users.noreply.github.com> Date: Thu, 23 Nov 2023 14:41:23 +0300 Subject: [PATCH] Create README.md Signed-off-by: pelinkeskin <86728061+pelinkeskin@users.noreply.github.com> --- Time-Related_Feature_Engineering/README.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 Time-Related_Feature_Engineering/README.md diff --git a/Time-Related_Feature_Engineering/README.md b/Time-Related_Feature_Engineering/README.md new file mode 100644 index 0000000..9f3c3fe --- /dev/null +++ b/Time-Related_Feature_Engineering/README.md @@ -0,0 +1,2 @@ +### Building Time-Related Feature Engineering Pipelines with Python +I built Time-Related Feature Engineering Pipelines with Python to predict [traffic volumes](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume ). I completed this project as part of an assignment in one of my modules during my Masters. I performed time-related feature engineering by encoding time features using cyclic_spline_transformer and used wrapper strategy with sequential forward selection for feature selection. I built a predictive model using Stochastic Gradient Descent regression with polynomial transformation and achieved 85% accuracy in predicting traffic volumes.