Akademik Dersler - İçerik

Will be able to make basic definitions of data mining and explain basic data mining problems.
Explain the basic concepts related to data mining.
Explain the basic data mining problems.
Prepare a data set and will be able to perform various analyzes on it.
Performs data preparation processes.
Perform data preprocessing steps.
Generate the summary statistics.
Interprets data by visualizing.
Performs multidimensional data analysis.
Will be able to explain the basic concepts of classification and use classification techniques.
Explain the basic concepts of classification.
Evaluates machine learning model (Confusion Matrix, accuracy, overfitting, underfitting, F-score, precision, recall)
Artificial Neural Network.
Logistic Regression
Decision Tree
Support Vector Machine.
Will be able to use mathematical programming approaches.
Explain the basic concepts of clustering and make cluster analysis using K-Means method.
Explain the basic concepts of cluster analysis.
Uses the K-means method.
Uses KNN algorithms for clustering.
Models the clustering problem as an optimization problem.
Solves data mining problems using the Python programming language.