Classification the below activities based on Naive Bayes Classifier:
sitting, standing, walking, downstairs, upstairs, typing, reading, hand_wash, dishes,vacuum
The project includes:
- importing the data and the important python modules.
- Dealing with missed NaN values, by replacing them with the mean.
- Visualizing the data for each activity.
- Data segmentation & Feature extraction.
- Splitting the dataset into training and testing.
- 10-fold cross-validation.
- Applying machine learning algorithm.
- Applying tool chain to investigate different parameters affect the accuracy of Naive Bays Classifier.
- Displaying the accuracy of the model.