data science
Background
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Provider: Alura
Comprehensive 48-hour specialization covering the end-to-end Machine Learning lifecycle. Focused on data preprocessing, feature engineering, and deploying classification/regression models. Validated expertise in model evaluation metrics and production-ready ML workflows.
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Provider: Alura
Implementation of unsupervised learning techniques. Focused on partitioning data using algorithms like K-Means, evaluating cluster validity, and extracting patterns from high-dimensional datasets without prior labeling.
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Provider: Alura
Statistical analysis and predictive modeling. Applied Linear Regression to identify correlations between variables and quantify the impact of features on target outcomes using statistical significance tests.