Big Data Analysis - Week 7

Wednesday 3rd of June (morning):
Lectures: Supernova dust detection with neural networks (Zoe Ansari).

Zoom:Link to lecture (Recorded!).
     Recording in Lecture video (131 MB) and Lecture audio (16 MB) along with Lecture chat (1 kB).

Exercise: Work on final project.

Wednesday 3rd of June (afternoon):
Lectures: Results and Scores on Small Project (TP and CJ).
Link to descriptions of ML setup for most performant algorithms:
     Classification 1: Maria Rasmussen (0.1437, 'LightGBM')
     Classification 2: Laurent Lindpointner (0.1475, 'XGBoost')
     Classification 3: Helena Britze (0.1479, 'LightGBM')
     Regression 1: Haider al Saadi [(8094.6, 'LightGBM')
     Regression 2: Fynn Wolf (8152.5, 'LightGBM')
     Regression 3: EdwinVargas (8290.3, 'XGBRegressor')

Zoom:Link to lecture (Recorded!).
     Recording in Lecture video (211 MB) and Lecture audio (22 MB) along with Lecture chat (1 kB).

Exercise: Work on final project.

Last updated: 1st of June 2020 by Troels Petersen.