Quiz #1 Traffic data analytics
The purpose of this quiz is 1) to check the candidate¡¯s understanding toward data processing and programming and 2) to confirm a capability of traffic data analytics with real world data sets. Please follow the procedure of the quiz and provide the required answers on 1 page (11pt, 1.0-line space) within 10 business days.
1. Go to the webpage https://machinelearningmastery.com/time-series-prediction-lstm- recurrent-neural-networks-python-keras/ to understand the concept of LSTM (Long Short- Term Memories).
2. Find and install the required open-source programs, including Python, Anaconda, Tensorflow, Keras, and Jupyter Notebook etc., to run the provided codes at step 1 in the Jupyter Notebook, which is the basic scripting environment for beginners in the area of a big data process.
3. Select and test the provided code at step 1 in the Jupyter Notebook and attached the graph after test-running.
4. Go to the webpage https://www.data.act.gov.au/Transport/Light-Rail-Patronage-15-min- interval/xvid-q4du.
5. Read and understand the description of Light Rail Patronage data sets.
6. Modify the selected code at step 3 to predict patronage demand in the coming week with
your own assumption.
7. Specify and write your assumption, results, and analysis for the given task.