abhisheks008 · abhisheks008 · Jan 21, 2024 · Jan 19, 2024
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+# Nurse Stress Prediction Dataset 
+
+The Dataset used here is taken from the Kaggle database website. You can download the file from the link given here, [Nurse Stress Prediction](https://www.kaggle.com/datasets/priyankraval/nurse-stress-prediction-wearable-sensors)
+
+## About the dataset
+
+There are 9 different features in the datasets:
+
+#### X, Y, Z:
+- ***Description***: Numerical values representing orientation data.
+- ***Unique Entries***: Each column has 256 unique values.
+
+#### EDA (Electrodermal Activity):
+- ***Description***: Continuous numerical values measuring electrodermal activity.
+- ***Unique Entries***: Contains 274,452 unique numerical values.
+
+#### HR (Heart Rate):
+- ***Description***: Continuous numerical values representing heart rate measurements.
+- ***Unique Entries***: Comprises 6,268 distinct numerical values.
+
+#### TEMP (Temperature):
+- ***Description***: Continuous numerical values denoting temperature readings.
+- ***Unique Entries***: Contains 599 unique numerical values.
+
+#### id:
+- ***Description***: Categorical data serving as identifiers for specific subjects or entities.
+- ***Unique Entries***: Consists of 18 distinct categorical entries.
+
+#### datetime:
+- ***Description***: Object type encompassing a wide range of date and time entries.
+- ***Unique Entries***: Holds approximately 10.6 million unique date and time values.
+
+#### label:
+- ***Description***: Categorical data representing different states or classes.
+- ***Unique Entries***: Contains three unique categorical values.
+
+---
+
+Each column in this dataset offers distinct information. The orientation data (X, Y, Z) seemingly represents spatial or directional measurements. Electrodermal activity (EDA), heart rate (HR), and temperature (TEMP) columns provide continuous physiological measurements. The 'id' column serves as a categorical identifier, while 'datetime' indicates timestamps. Lastly, the 'label' column presents categorical classifications.
+
diff --git a/Nurse Stress Prediction/Images/EDA_plot.jpg b/Nurse Stress Prediction/Images/EDA_plot.jpg
diff --git a/Nurse Stress Prediction/Images/HR_plot.jpg b/Nurse Stress Prediction/Images/HR_plot.jpg
diff --git a/Nurse Stress Prediction/Images/MSE_plot.png b/Nurse Stress Prediction/Images/MSE_plot.png
diff --git a/Nurse Stress Prediction/Images/TEMP_plot.jpg b/Nurse Stress Prediction/Images/TEMP_plot.jpg
diff --git a/Nurse Stress Prediction/Images/X_plot.jpg b/Nurse Stress Prediction/Images/X_plot.jpg
diff --git a/Nurse Stress Prediction/Images/actual_vs_prediction.png b/Nurse Stress Prediction/Images/actual_vs_prediction.png
diff --git a/Nurse Stress Prediction/Images/correlation_heatmap.jpg b/Nurse Stress Prediction/Images/correlation_heatmap.jpg
diff --git a/Nurse Stress Prediction/Images/label_plot.jpg b/Nurse Stress Prediction/Images/label_plot.jpg
diff --git a/Nurse Stress Prediction/Images/pca.jpg b/Nurse Stress Prediction/Images/pca.jpg
diff --git a/Nurse Stress Prediction/Images/prediction_plot.png b/Nurse Stress Prediction/Images/prediction_plot.png