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 […]
Data Science with R and Python- A Round Up: December 2019
One of the good things of being active in twitter is that you get exposed to interesting content. The bad thing about it is that you retweet with the goal of finding it later and read it. However, you never find it or read it afterwards. So, here is a new attempt to catch up […]
31 Days of #rstats Resources Advent
R community is amazing with sharing excellent learning resources for free. And it seems never ending!. If you are like me, you might have missed a lot of “#rstats resource advent” daily tweets containing fantastic R resources from RStudio’s Mara Averick (@dataandme). Not to worry, you have all the #rstats resource advent tweets from Day […]