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Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. What are the advantages and disadvantages of decisiontrees ? Tools & Technologies Gain proficiency in Python, pandas, NumPy, Scipy, PowerBI, R, and Tableau. Access to IBM Cloud Lite account.
Key topics include: Supervised Learning Understanding algorithms such as linear regression, decisiontrees, and support vector machines, and their applications in Big Data. Model Evaluation Techniques for evaluating machine learning models, including cross-validation, confusion matrix, and performance metrics.
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