Trajectory Prediction

Objective:

Build a software system that will help the Art Gallery Management to regulate visitor flow

The software system in turn will in turn achieve the following objectives

  Reduce visitors wait time
  Increase visitors engagement 
  Thereby increase visitors satisfaction.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
Clustering - Kmeans and DBSCAN.ipynb		Clustering - Kmeans and DBSCAN.ipynb
Clustering - Kmeans vs DBSCAN.ipynb		Clustering - Kmeans vs DBSCAN.ipynb
DBSCAN Weekday Clustering.ipynb		DBSCAN Weekday Clustering.ipynb
EDA - Number of unique visitors.ipynb		EDA - Number of unique visitors.ipynb
EDA- Do visitors go to different levels in a visit.ipynb		EDA- Do visitors go to different levels in a visit.ipynb
EDA- avg time interval of lat, lng recording.ipynb		EDA- avg time interval of lat, lng recording.ipynb
LICENSE		LICENSE
README.md		README.md
Reduce data size and reshape data.ipynb		Reduce data size and reshape data.ipynb
Trajectory Prediction - LSTM - level1.ipynb		Trajectory Prediction - LSTM - level1.ipynb
Trajectory Prediction - LSTM - levelB1.ipynb		Trajectory Prediction - LSTM - levelB1.ipynb
Trajectory Prediction using_LSTM.ipynb		Trajectory Prediction using_LSTM.ipynb
Visualize- Where do Visitors Spend More Time.ipynb		Visualize- Where do Visitors Spend More Time.ipynb
filter_stationary_mac_id_utility.ipynb		filter_stationary_mac_id_utility.ipynb
kmeans clutering -level1 data.ipynb		kmeans clutering -level1 data.ipynb
kmeans clutering -level5 data.ipynb		kmeans clutering -level5 data.ipynb
kmeans clutering -levelB1 data.ipynb		kmeans clutering -levelB1 data.ipynb
sort_trajectory_utility.ipynb		sort_trajectory_utility.ipynb