From 98d71f06fc912713bebd0e7246542ca5c22f9056 Mon Sep 17 00:00:00 2001
From: Erdogan <31008129+erdogant@users.noreply.github.com>
Date: Sat, 13 Apr 2024 10:11:17 +0200
Subject: [PATCH 1/2] Update README.md
---
README.md | 23 ++++++++---------------
1 file changed, 8 insertions(+), 15 deletions(-)
diff --git a/README.md b/README.md
index ad7f860..094a2b0 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,9 @@
**pca** A Python Package for Principal Component Analysis. The core of PCA is build on sklearn functionality to find maximum compatibility when combining with other packages.
-But this package can do a lot more. Besides the regular pca, it can also perform **SparsePCA**, and **TruncatedSVD**. Depending on your input data, the best approach will be choosen.
+But this package can do a lot more. Besides the regular pca, it can also perform **SparsePCA**, and **TruncatedSVD**. Depending on your input data, the best approach will be chosen.
+**⭐️ Star this repo if you like it ⭐️**
+
Other functionalities of PCA are:
@@ -36,11 +38,12 @@ Other functionalities of PCA are:
* Scatter plot with the **loadings**
* Outlier detection using **Hotelling T2 and/or SPE/Dmodx**
----
-**⭐️ Star this repo if you like it ⭐️**
+## Support
+
+Your ❤️ is important to keep maintaining my packages. You can support in various ways, have a look at the [sponser page](https://erdogant.github.io/pca/pages/html/Documentation.html). Report bugs, issues or help out with developing new features! If you don't have the time to help or are still learning, you can also take a [Medium Mebership using my referral link](https://erdogant.medium.com/) to keep reading all my hands-on blogs. If you also don't need that, there is always the coffee! Thank you!
+
----
## Read the Medium blog for more details.
@@ -51,16 +54,12 @@ Other functionalities of PCA are:
#### [3. Quantitative comparisons between t-SNE, UMAP, PCA, and Other Mappings.](https://towardsdatascience.com/the-similarity-between-t-sne-umap-pca-and-other-mappings-c6453b80f303)
-#
-
-
----
## [Documentation pages](https://erdogant.github.io/pca/)
On the [documentation pages](https://erdogant.github.io/pca/) you can find detailed information about the working of the ``pca`` with many examples.
----
+
## Installation
@@ -219,9 +218,3 @@ Please cite in your publications if this is useful for your research (see citati
* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)
---
-
-## Support
-
-Your ❤️ is important to keep maintaining this package. You can [support](https://erdogant.github.io/pca/pages/html/Documentation.html) in various ways, have a look at the [sponser page](https://erdogant.github.io/pca/pages/html/Documentation.html). Report bugs, issues and feature extensions at [github page](https://github.com/erdogant/pca).
-
-
From c5e5d49e11cbac1bec87b4d7eb330c4b0815b80c Mon Sep 17 00:00:00 2001
From: Erdogan <31008129+erdogant@users.noreply.github.com>
Date: Sat, 13 Apr 2024 10:11:38 +0200
Subject: [PATCH 2/2] Update README.md
---
README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.md b/README.md
index 094a2b0..dbc1880 100644
--- a/README.md
+++ b/README.md
@@ -45,7 +45,7 @@ Your ❤️ is important to keep maintaining my packages. You can support in var
-## Read the Medium blog for more details.
+### Read the Medium blog for more details.
#### [1. What are PCA loadings and how to effectively use Biplots?](https://towardsdatascience.com/what-are-pca-loadings-and-biplots-9a7897f2e559)