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_toc.yml
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- file: intro
- file: content/M00_intro_udea_20242
title: 2024.2 UDEA
- file: content/M00_modelos1_proyecto_20242
title: 2024.2 M1 - proyecto sustituto
- file: content/M01_videos
sections:
- file: "content/NOTES 01.01 - PROYECTO KAGGLE"
- file: "content/LAB 01.01 - PRACTICE SUBMISSION"
- file: "content/LAB 01.02 - METRICS"
- file: content/M02_videos
sections:
- file: "content/NOTES 02.01 - PYTHON BASIC STRUCTURES"
- file: "content/NOTES 02.02 - MORE PYTHON"
- file: "content/NOTES 02.03 - PYTHON NUMPY"
- file: "content/NOTES 02.04 - PANDAS"
- file: "content/LAB 02.01 - PYTHON"
- file: "content/LAB 02.02 - NUMPY"
- file: "content/LAB 02.03 - PANDAS"
- file: "content/LAB 02.04 - CARD TRICK"
- file: content/M03_videos
sections:
- file: "content/NOTES 03.01 - MODELS DERIVED FROM DATA"
- file: "content/NOTES 03.02 - SUPERVISED ALGORITHMS"
- file: "content/NOTES 03.03 - SVM AND FEATURE TRANSFORMATION"
- file: "content/LAB 03.01 - MODEL GENERATION"
- file: "content/LAB 03.02 - TIMESERIES MODEL"
- file: content/M04_videos
sections:
- file: "content/NOTES 04.01 - DATA EXPLORATION"
- file: "content/NOTES 04.02 - DATA CLEANING"
- file: "content/NOTES 04.03 - SIMPLE HYPOTHESIS TESTING"
- file: "content/NOTES 04.04 - HYPOTHESIS TESTING - COMPARING SAMPLE MEANS"
- file: "content/LAB 04.01 - CLEANING DATA"
- file: "content/LAB 04.02 - BUILDING DATASETS"
- file: content/M05_videos
sections:
- file: "content/NOTES 05.01 - A TIME SERIES PREDICTIVE STRATEGY"
- file: "content/NOTES 05.02 - MODEL EVALUATION"
- file: "content/NOTES 05.03 - MODEL SELECTION"
- file: "content/NOTES 05.04 - EXAMPLE SUBMISSION TO KAGGLE"
- file: "content/LAB 05.01 - MEASURING PREDICTIVITY IMPACT"
- file: "content/LAB 05.02 - MODEL EVALUATION"
- file: content/M06_videos
sections:
- file: "content/NOTES 06.01 - UNSUPERVISED LEARNING - CLUSTERING"
- file: "content/NOTES 06.02 - PCA"
- file: "content/NOTES 06.03 - DIMENSIONALITY REDUCTION"
- file: "content/LAB 06.01 - CLUSTERING"
- file: "content/LAB 06.02 - NMF face search"
- file: content/M07_videos
sections:
- file: "content/NOTES 07.01 - OPTIMIZATION"
- file: "content/NOTES 07.02 - DESIGNING ML ALGORITHMS"
- file: "content/NOTES 07.03 - NEURAL NETWORKS"
- file: "content/NOTES 07.04 - NEURAL NETWORKS WITH TENSORFLOW"
- file: "content/LAB 07.01 - OPTIMIZATION FOR ML"
- file: "content/LAB 07.02 - NEURAL NETWORKS"