NESLIHAN GöKMEN İNAN (APPLIED MACHINE LEARNING WITH PYTHON PROGRAMMING)

This course goes over data-loading, pre-processing, the usage of various classical machine learning models in Python for both classification and regression. Performance evaluation and hyperparameter selection will be covered along the way.

Exploratory Data Analysis with numpy, matplotlib and pandas

Pre-processing and feature extraction

Linear regression and logistic regression

Performance metrics and performance plots

Model-selection and cross-validation

Tree-ensembles XGBoost, LightGBM, Catboost

Perceptrons and NN versions of linear regression and logistic regression

Course Hours: 2 hours

Course Date:  

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Course Language: English

Requirements for Participants: To have basic knowledge of Python programming