Learn machine learning with a focus on supervised and unsupervised types. Google guides, hands-on tasks, and real-world examples enhance your analytics skills. Master Python, Naive Bayes, K-means, decision trees, random forest, and XGBoost models. Optimize and tune parameters for top performance. Gain expertise for data science roles.Read more.
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The techniques and tools covered in The Nuts and Bolts of Machine Learning are most similar to the requirements found in Data Scientist job advertisements.
