This machine learning challenge is intended for complete beginners. To begin, download the Occupancy Detection Data Set from the UCI Machine Learning Repository. Then, complete the following tasks:
- Use pandas to display the descriptive statistics for the dataset, and figure out which attributes are available to use.
- Split the data into a training and testing set using a function from scikit learn.
- Find an classification algorithm on scikit learn and use it to build a model that can prediction whether or not a person is in a room.
Once you have learned how to train a basic scikit learn algorithm, you can experiment with different algorithms to examine which are most efficient.
TIP: If you are unsure which algorithm to use, try following the handy flowchart included in this repository!