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A Decision Tree is a supervised Machine learning algorithm and it is used in both classification and regression algorithms.
EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.
K Means is a clustering algorithm that repeatedly assigns a group amongst k groups present to a data point. Let's understand clustering in R
In this article we are going to understand how to categorise the wine quality with Machine Learning(ML) in Python using a dataset
A boosting algorithm can outperform simpler algorithms like Random forest, decision trees, or logistic regression & that's why it's relevant
Explore K-Means clustering: Understand the algorithm, Python implementation,& how to choose optimal clusters using WCSS and the Elbow Method.
SVM (Support Vector Machine)is a supervised learning algorithm that can be used for both classification and regressions, soft margin svm.
Logistic Regression in python is one of the most popular Machine Learning Algorithms, used in the case of predicting various categorical.
In this article, we will discuss specifically Machine Learning for land cover classification based on satellite images in Python
Confusion matrix compares the predicted target values with the actual target values. And it cannot process probability scores.
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