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bagging_decisiontree

This coveres the most important technique of Ensemble learning known as Bootstrap Aggregating aka Bagging

byte-academy1

comparison_svm_linearsvm_sgd

how to use LinearSVC , SVC classifier and SGD classifier via Python code and also compare results for the same dataset.

decisiontreeclassifier_gridsearchcv

Decision Tree's are an excellent way to classify classes, unlike a Random forest they are a transparent or a whitebox classifier which means we can actually find the logic behind decision tree's classification.

ensemblemoons

Technique of using multiple classifiers together and then aggregating the results is called Ensemble technique and we're going to use the Moons Dataset to highlight the same.

hello-world

Github Guide

hyperparameter_tuning_svm_mnist

Using one vs all strategy on MNIST dataset to classify classes and then use Hyper Parameter tuning on it.

iris_dataset_using_linearsvc-svm

Classification of Iris Virginica using SVM linear classifier