PinnedMehmet Ali TOR·Jun 28, 2024Top 15 Machine Learning Regression AlgorithmsMachine learning regression algorithms examine relationships between given data, creating prediction models for continuous variables…A response icon2A response icon2
Mehmet Ali TOR·Jan 17, 2025Gradient Descent Algorithms: A Comprehensive OverviewGradient Descent is an optimization method. Optimization ensures that a model reaches the most efficient and accurate predictions. In other…
Mehmet Ali TOR·Dec 24, 202411 Deep Learning Models with Brief ExplanationsArtificial Neural Networks (ANN)
Mehmet Ali TOR·Nov 26, 2024Artificial Neural Network and Layers in Deep LearningArtificial Neural Networks (ANN) form the basis of deep learning models. It was developed with the aim of imitating the functioning of the…
Mehmet Ali TOR·Nov 21, 2024Decision Tree Splitting Methods In Machine LearningDecision trees are one of the supervised machine learning algorithms. They can be used to solve classification and regression problems…
Mehmet Ali TOR·Oct 27, 2024Logistic Regression (Best binary classification algorithm in machine learning)Logistic Regression is a classification algorithm. It is often used to estimate two-class dependent variables. It is one of the most…
Mehmet Ali TOR·Oct 11, 2024Machine Learning Nearest Neighbor KNN (K-Nearest Neighbor) Algorithm, Clearly ExplainedIn machine learning, the K-Nearest Neighbor (KNN) algorithm is used for classification and regression problems. KNN (K-Nearest Neighbor) is…
Mehmet Ali TOR·Sep 30, 2024Support Vector Machine and Kernel TrickSupport Vector Machine method is an easy-to-use and common algorithm. VC theory was developed by Vladimir Vapnik and Alexey Chervonenkis in…
Mehmet Ali TOR·Sep 8, 2024Outlier Analysis Methods In Machine LearningHello, in this article, I talked about how to detect outliers in our data sets and the analysis processes we can do for these values.
Mehmet Ali TOR·Aug 19, 2024Best Missing Data Analysis MethodsMissing data is frequently encountered in data sets obtained from real life. Since missing data causes problems in many data analysis…