#core-ml

Articles tagged with #core-ml

#13 PCA
PCA (Principal Component Analysis) is a dimensionality reduction technique and helps us to reduce the number of features in a dataset while keeping the most important information. It changes complex d
May 24, 20268 min read245
#7 Naive Bayes Algorithm
Naive Bayes is a supervised machine learning algorithm mainly used for classification problems. It is based on Bayes’ Theorem and assumes that all features are independent. Naive Bayes is commonly us
May 23, 20264 min read58
#6 KNN
K-Nearest Neighbors (KNN) is a simple supervised machine learning algorithm used for both classification and regression problems. It predicts the output based on the nearest data points. KNN helps th
May 23, 20267 min read60
#5 C4.5 Algorithm in Decision Tree
C4.5 is an improved version of the ID3 Decision Tree algorithm. It was introduced by Ross Quinlan to overcome the limitations of ID3. This algorithm builds the decision tree using - "Entropy", "Inform
May 23, 20264 min read30
#4 ID3 Algorithm in Decision Tree
ID3 (Iterative Dichotomiser 3) is a Decision Tree algorithm used for classification problems. It was introduced by Ross Quinlan in 1986. The algorithm builds a Decision Tree by selecting the feature w
May 23, 20264 min read51
#3 Decision Trees
A Decision Tree is a supervised machine learning algorithm that makes decisions by splitting data into branches based on feature conditions — just like a flowchart. It's one of the most intuitive and
May 23, 20265 min read125