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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⢠Introduction to Statistical Regression – Basic principles, linear regression, least squares method
⢠Multiple Linear Regression – Multiple predictors, hypothesis testing, model evaluation
⢠Logistic Regression – Binary outcomes, odds ratios, maximum likelihood estimation
⢠Regularization Methods – Ridge regression, Lasso regression, Bayesian methods
⢠Generalized Linear Models – Exponential family distributions, link functions
⢠Model Selection and Evaluation – Cross-validation, AIC, BIC, residual analysis
⢠Non-linear Regression – Polynomial and spline regression, local regression
⢠Time Series Analysis – Autoregressive, moving average, ARIMA models
⢠Machine Learning Regression Techniques – Decision trees, random forests, neural networks
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