## Support Vector Machine Algorithm In Python

Support Vector Machine (SVM) is one of the supervised Machine Learning Algorithm.That help to solve classification as well as regression problem.

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# Machine Learning

## Support Vector Machine Algorithm In Python

## Hierarchical Agglomerative Clustering Algorithm Solution In Python

## Step-by-Step Implementation Of K-Nearest Neighbors Algorithm In Python

## Practical Implementation Of Multiple Linear Regression In Python

## Implementation of Simple Linear Regression In Python

## Step-by-Step Implementation Of Decision Tree Algorithm In Python Using Id3

Machine learning Algorithm Explanation and implementation in Python

Support Vector Machine (SVM) is one of the supervised Machine Learning Algorithm.That help to solve classification as well as regression problem.

Agglomerative clustering algorithm is one of unsupervised machine learning algorithm. That used for classifying data which is not labelled.

K-Nearest Neighbors Algorithm is a classification algorithm. That help to predict the class label of the new data set based on the trained model. This predicts the class label based on the behavior of neighbors. KNN is used for binary classification as well as for the multi classification. KNN is working on the distance of the …

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Multiple Linear Regression is used to predict continuous values.Multiple Linear Regression is predict value of the dependent variable based on two or more independent variable.

Simple Linear Regression is used to predict continuous values. Simple Linear Regression is predict value of the dependent variable based on one independent variable.

Decision Tree Algorithm is one of the classification algorithm that help in classification of data point based on the past data. The decision tree is work on information gain and entropy. tree node contains the feature, branch conation condition or outcome and leaf node contain class label. To Implement Decision Tree Algorithm Need To Install …

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