Here you go with the first post for the year on “Data Science with R and Python Round Up”. The new year resolution is that to continue the monthly round up. This roundup is an attempt to compile interesting news, Python, R blog posts on anything related to data, data science, ML and AI. Hopefully […]
Heatmaps with Seaborn’s ClusterMap
Just recently stumbled on to Seaborn’s ClusterMap function for making heatmaps. Till now relied on Seaborn’s heatmap function for making simple heatmaps with Seaborn heatmap() function and using pheatmap package in R for anything bit complex. Seaborn’s Clustermap function is great for making simple heatmaps and hierarchically-clustered heatmaps with dendrograms on both rows and/or columns. […]
Image Reconstruction using Singular Value Decomposition (SVD) in Python
In this post, we will explore the use of SVD on Image analysis. We will mainly use SVD on images to get main components/singular vectors capturing the image and use part of them to reconstruct the image. Singular Value Decomposition (SVD) is one of the commonly used dimensionality reduction techniques. SVD/PCA is the mainstay of […]
11 Tips to Make Plots with Pandas
Python Pandas library is well known for its amazing data munging capabilities. However, a little underused feature of Pandas is its plotting capabilities. Yes, one can make better visualizations with Matplotlib or Seaborn or Altair. However, Pandas plotting capabilities can be extremely handy when you are in exploratory data analysis mode and want to quickly […]
7 Tips to Combine Multiple ggplots Using Patchwork
Patchwork, the R package that lets you combine multiple figures made by ggplot2, got a big update late last year and it is on CRAN now. If you have not heard of Patchwork, it is an R package made by the awesome Thomas Lin Pedersen. Patchwork lets you combine separate plots made by ggplot to […]