Top 10 Python Machine Learning Algorithms

Linear Regression

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Logistic Regression

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Logistic Regression

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Polynomial Regression

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Decision Tree

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Support Vector Machine Algorithm (SVM)

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Grid Search

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Random Forest Algorithm

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Naive Bayes Algorithm

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KNN (K- Nearest Neighbors) Algorithm

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KNN (K- Nearest Neighbors) Algorithm

[{"selector":"#anim-e9120a71-f0b9-4932-8d94-31168010cc32","keyframes":{"opacity":[0,1]},"delay":0,"duration":2000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-bfe56627-b9d8-46be-8d87-7b041247b0ee","keyframes":{"transform":["translate3d(0px, 214.08147%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":2000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Disc Pie Chart Images by : Google Images IKNN stores all available cases and classifies any new cases by taking a majority vote of its k neighbors.

K-Means Algorithm

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K-Means Algorithm

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7 Step Instagram Growth Guide, Get More Followers

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Learn best SEO Techniques in 2022 to get higher ranking in search result.

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Top 10 Python Machine Learning Algorithms

Author :- Akshay Ramteke

Linear Regression

10

Logistic Regression

9

Logistic Regression

Logistic Regression helps to predict the probability of an event by fitting data to a logit function.

Polynomial Regression

8

Decision Tree

7

Support Vector Machine Algorithm (SVM)

6

Grid Search

5

Random Forest Algorithm

4

Naive Bayes Algorithm

3

KNN (K- Nearest Neighbors) Algorithm

2

KNN (K- Nearest Neighbors) Algorithm

K-Means Algorithm

1

K-means is an unsupervised learning method for clustering data points.

K-Means Algorithm

K-means algorithm iteratively divides data points into K clusters by minimizing the variance in each cluster.

7 Step Instagram Growth Guide, Get More Followers

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