Machine Learning

Underfitting and Overfitting

First of all both underfitting and overfitting are not good characteristics of a machine learning model. So we go for ...
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K Means Clustering Algorithm Implementation with Python

Here we considered a dataset of students with name, roll number and marks. You can find the dataset below KmeansDownload ...
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How to Determine the Optimal Number of Clusters – K Means Clustering

This is a very important question to be answered before we move further with k means clustering algorithm. If we ...
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K Means Clustering Solved Numerical

K means clustering is a unsupervised learning algorithm. NO target or dependent variable is mentioned in input data. Here we ...
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Support Vector Machine

Support vector machines was initially designed for prediction of numeric and categorical outcomes. Today SVM is mostly used as a ...
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