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This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.

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AdaBoost (Test set).png
AdaBoost (Test set).png
 
 
AdaBoost (Training set).png
AdaBoost (Training set).png
 
 
Decision Tree (Test set).png
Decision Tree (Test set).png
 
 
Decision Tree (Training set).png
Decision Tree (Training set).png
 
 
Gaussian Process (Test set).png
Gaussian Process (Test set).png
 
 
Gaussian Process (Training set).png
Gaussian Process (Training set).png
 
 
Linear SVM (Test set).png
Linear SVM (Test set).png
 
 
Linear SVM (Training set).png
Linear SVM (Training set).png
 
 
ML Classifier Comparision.ipynb
ML Classifier Comparision.ipynb
 
 
Naive Bayes (Test set).png
Naive Bayes (Test set).png
 
 
Naive Bayes (Training set).png
Naive Bayes (Training set).png
 
 
Nearest Neighbors (Test set).png
Nearest Neighbors (Test set).png
 
 
Nearest Neighbors (Training set).png
Nearest Neighbors (Training set).png
 
 
Neural Net (Test set).png
Neural Net (Test set).png
 
 
Neural Net (Training set).png
Neural Net (Training set).png
 
 
QDA (Test set).png
QDA (Test set).png
 
 
QDA (Training set).png
QDA (Training set).png
 
 
RBF SVM (Test set).png
RBF SVM (Test set).png
 
 
RBF SVM (Training set).png
RBF SVM (Training set).png
 
 
README.md
README.md
 
 
Random Forest (Test set).png
Random Forest (Test set).png
 
 
Random Forest (Training set).png
Random Forest (Training set).png
 
 
Social_Network_Ads.csv
Social_Network_Ads.csv
 
 

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ML-Classifier-Comparision

This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.

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This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.

Topics

machine-learning-algorithms jupyter-notebook python3 comparison naive-bayes-classifier adaboost decision-tree nearest-neighbours-classifier linearsvm random-forest-classifier neuralnet gaussian-process-regression qda rbf-svm

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