AI with LSST workshop - KAML 2025

1. KAML_catalogues.ipynb

in this notebook we will:

• download catalogue data
• clean and organise the data
• implement star/galaxy/quasar classification using decision trees, random forrests and neural networks
• compare their performances

2. KAML_catalogues_regession.ipynb

in this notebook we will:

• download catalogue data
• clean and organise the data
• train a photo-z estimation model using various models
• comapre the performance

3. KAML_images.ipynb

in this notebook we will:

• download images from SDSS
• classify their type based on their image features
• build a CNN and test it
• try a pre-trained model and compare