Heatmaps and Dendrograms with seaborn in Python Template
The Heatmaps and Dendrograms with seaborn in Python template demonstrates how to create heatmaps and dendrograms using the seaborn package in Python.Some other related topics you might be interested in are K-Means Clustering of Numerical Data with sklearn in Python, The Elbow Method for K-Means Clustering in Python, K-Means Clustering of Categorical Data with sklearn in Python. You can now download the Python template for free. The Heatmaps and Dendrograms with seaborn in Python template is among the topics covered in detail in the 365 Data Science program.
Hristina HristovaCourse Author Linkedin profile
Who is it for
This is an open-access Python template that is going to be very helpful for Data Analysts, Machine Learning Engineers, Data Scientists and any person who wants to use seaborn heatmaps and utilize Python’s data visualization capabilities with the seaborn package.
How it can help you
A dendrogram is used to visualize agglomerative hierarchical clustering. A typical example could be the Tree of Life. A heatmap, on the other hand, could be used to combine dendrograms. It is accompanied by a legend which tells us what each color in the heatmap represents. A heatmap is a great way to visualize samples with alike features. This is so because it makes use of colors rather than numbers.
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