Machine Learning

IBM Machine Learning

IBMCompleted 2024-05-13

Machine LearningSupervised LearningUnsupervised LearningDeep LearningPythonScikit-learn

What I Learned

Master supervised learning algorithms including regression, classification, and ensemble methods

Apply unsupervised learning techniques such as clustering and dimensionality reduction

Build and deploy deep learning models using Keras and TensorFlow

Tune and evaluate models with cross-validation, regularisation, and performance metrics

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IBM Machine Learning

IBM

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Educational Standards & Credential Integrity

This professional certificate confirms that Ankur Halder has successfully completed coursework, assessments, and technical implementations certified by IBM. Micro-credentials and formal certificates serve as verifiable evidence of mastery in modern software engineering principles, algorithms, cloud deployments, and software architecture.

Every course within this curriculum involves hands-on project building, peer code reviews, and structured knowledge evaluations designed to meet global industry requirements. The competencies gained directly enhance engineering capabilities across web development, system architecture, database optimization, and cloud operations.

To verify authentic certification status, official transcripts, and issuing authority records, use the verification link or download the signed PDF credential above. All certificates presented on this portfolio are verified through cryptographic or official issuer portals.