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PCA – Implementation

  • May 22, 2026
tut_PCA_1_implementation_using_numpy Example1) PCA 2D to 1D¶ In [1]: import numpy as np import matplotlib.pyplot as plt In [ ]: Create...
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K-Means Application – Labelling

  • May 22, 2026
We can use K-means clustering for labeling, but it is typically used for pseudo-labeling or semi-supervised learning rather than direct...
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K-Means : WCSS and Compactness

  • May 22, 2026
This articles describes the Within Cluster Sum Of Squares, a metric that is used to determine the spread of the...
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K-Means on Credit Card Dataset

  • May 22, 2026
This articles uses K-Means to solve a business problem: Customer retention and Risk managment kmeans_CC_General Credit Card Clustering¶ Problem Statement:...
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K-Means Implementation Using AI

  • May 22, 2026
In this article, I show the implementation of K-mean algorithm using open source free AI tools. You can use ChatGPT,...
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K-Means On Driver Dataset

  • May 22, 2026
You are a Insurance company that has to reward safe driver by offering lower premium and risky drivers high premium....
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ANN – Artificial Neural Network

  • April 30, 2026
This contains material on ANN
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Datasets

  • April 19, 2026
Introduction Datasets are the foundation of every Artificial Intelligence (AI) and Machine Learning (ML) project. No matter how advanced an...
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