Lessons

1. Clustering for dataset exploration

{% embed url="https://github.com/ML-Challenge/week4-unsupervised-learning/blob/master/L1.Clustering%20for%20dataset%20exploration.ipynb" caption="Clustering for dataset exploration" %}

****Open with Google Colab****

2. Visualisation with hierarchical clustering and t-SNE

{% embed url="https://github.com/ML-Challenge/week4-unsupervised-learning/blob/master/L2.Visualization%20with%20hierarchical%20clustering%20and%20t-SNE.ipynb" caption="Visualisation with hierarchical clustering and t-SNE" %}

****Open with Google Colab****

3. Decorrelating data and dimension reduction

{% embed url="https://github.com/ML-Challenge/week4-unsupervised-learning/blob/master/L3.Decorrelating%20data%20and%20dimension%20reduction.ipynb" caption="Decorrelating data and dimension reduction" %}

****Open with Google Colab****

4. Discovering interpretable features

{% embed url="https://github.com/ML-Challenge/week4-unsupervised-learning/blob/master/L4.Discovering%20interpretable%20features.ipynb" caption="Discovering interpretable features" %}

****Open with Google Colab****

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