قائمة الدروس
- Overview of Data Mining and Predictive Modelling
- What is Classification? What is a Classifier?
- The ZeroR Classifier .. What it is and How it Works
- The OneR Classifier .. What it is and How it Works
- How Naive Bayes Classifier Works 1/2.. Understanding Naive Bayes and Example
- Naive Bayes Classifier 2/2 .. Naive Bayes and Numerical Attributes
- How Decision Trees Work 1/2 .. an Introduction + What is Entropy
- How Decision Trees Work 2/2 .. An Example
- How Linear Discriminant Analysis (LDA) Classifier Works 1/2
- How Linear Discriminant Analysis (LDA) Classifier Works 2/2
- How K-Nearest Neighbors (kNN) Classifier Works
- Java Implementation of K-Nearest Neighbors (kNN) Classifier 1/2
- Java Implementation of K-Nearest Neighbors (kNN) Classifier 2/2
- Classification with Logistic Regression 1/2
- Classification with Logistic Regression 2/2
- How the Perceptron Algorithm Works 1/2
- How the Perceptron Algorithm Works 2/2
- Java Implementation of the Perceptron Algorithm
- Transfer Functions in the Perceptron and Artificial Neural Networks
- Understanding Multi-Layer Perceptron (MLP) .. How it Works
- Feedforward and Feedback Artificial Neural Networks
- Radial Basis Function Artificial Neural Networks
- How Support Vector Machine (SVM) Works 1/2
- How Support Vector Machine (SVM) Works 2/2
- Nonlinear Support Vector Machine (SVM) .. The Kernel Trick
- Regression with Decision Trees
- Multiple Linear Regression (MLP) 1/2
- Multiple Linear Regression (MLP) 2/2 ... with an example
- Regression with the k-Nearest Neighbor (kNN) Algorithm
- Clustering Algorithms .. What is Clustering?
- Hierarchical Clustering (Agglomerative and Divisive Clustering)
- Partitive Clustering (K-Means Clustering)
- Partitive Clustering .. Self-Organizing Map (SOM)
- An Overview of Association Rules
- The Apriori Algorithm ... How The Apriori Algorithm Works
- Generating Association Rules from Frequent Itemsets
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