Machine Learning with Python Course Overview

Appreciate the breadth & depth of ML applications and use cases in real-world scenarios. Import and wrangle data using Python libraries and divide them into training and test datasets Data preprocessing techniques, Univariate and Multivariate analysis, Missing values and outlier treatment etc Implement linear and polynomial regression, understand Ridge and lasso Regression, Implement various type of classification methods including SVM, Naive bayes, decision tree, and random forest

Machine Learning with PythonTraining Key Features

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