Certificate in ML Concepts: Smarter Outcomes
-- ViewingNowThe Certificate in ML Concepts: Smarter Outcomes course is a comprehensive program designed to empower learners with the essential skills needed to thrive in the rapidly evolving field of machine learning. This course covers key ML concepts, algorithms, and techniques, providing a solid foundation for understanding and applying ML in real-world scenarios.
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⢠Introduction to Machine Learning (ML): Defining ML, understanding its importance and applications, and differentiating ML from traditional programming.
⢠Data Preprocessing: Data cleaning, wrangling, and visualization, understanding the importance of data preprocessing in ML.
⢠Regression Analysis: Understanding regression, types of regression, and use cases, applying regression algorithms in ML.
⢠Classification Techniques: Defining classification, types of classification, and use cases, applying classification algorithms in ML.
⢠Clustering Analysis: Understanding clustering, types of clustering, and use cases, applying clustering algorithms in ML.
⢠Dimensionality Reduction: Defining dimensionality reduction, types of dimensionality reduction, and use cases, applying dimensionality reduction techniques in ML.
⢠Feature Selection and Extraction: Understanding feature selection and extraction, types of feature selection and extraction, and use cases in ML.
⢠Evaluation Metrics: Defining evaluation metrics, types of evaluation metrics, and use cases in ML.
⢠Bias and Variance Tradeoff: Understanding bias and variance, its impact on ML models, and techniques to address the tradeoff.
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