Salary Clustering

Author: Ayush Varshney

K-Means-Clustering/K-means++_model.pkl

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+# K-Means++ Clustering
+
+K-Means++ is a unsupervised learning algorithm ensures a smarter initialization of the centroids and improves the quality of the clustering.<br> 
+Apart from initialization, the rest of the algorithm is the same as the standard K-means algorithm.<br/><br>
+### Salary Dataset : https://www.kaggle.com/rsadiq/salary <br><br>
+**Check out the colab notebook and boom you get all the details regarding K-means++ and methods with codes and graphs.**

K-Means-Clustering/README.md

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+YearsExperience,Salary
+1.1,39343
+1.3,46205
+1.5,37731
+2,43525
+2.2,39891
+2.9,56642
+3,60150
+3.2,54445
+3.2,64445
+3.7,57189
+3.9,63218
+4,55794
+4,56957
+4.1,57081
+4.5,61111
+4.9,67938
+5.1,66029
+5.3,83088
+5.9,81363
+6,93940
+6.8,91738
+7.1,98273
+7.9,101302
+8.2,113812
+8.7,109431
+9,105582
+9.5,116969
+9.6,112635
+10.3,122391
+10.5,121872
+11.2,127345
+11.5,126756
+12.3,128765
+12.9,135675
+13.5,139465