Undergraduate Certificate in Statistical Regression for Machine Learning
-- ViewingNowThe Undergraduate Certificate in Statistical Regression for Machine Learning is a comprehensive course that equips learners with essential skills in statistical regression and machine learning. This program is designed to meet the growing industry demand for professionals who can apply statistical methods to machine learning algorithms.
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โข Introduction to Statistical Regression – Basic principles, linear regression, least squares method
โข Multiple Linear Regression – Multiple predictors, hypothesis testing, model evaluation
โข Logistic Regression – Binary outcomes, odds ratios, maximum likelihood estimation
โข Regularization Methods – Ridge regression, Lasso regression, Bayesian methods
โข Generalized Linear Models – Exponential family distributions, link functions
โข Model Selection and Evaluation – Cross-validation, AIC, BIC, residual analysis
โข Non-linear Regression – Polynomial and spline regression, local regression
โข Time Series Analysis – Autoregressive, moving average, ARIMA models
โข Machine Learning Regression Techniques – Decision trees, random forests, neural networks
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