Unsupervised Machine Learning
Issuer
IBM
Issued
2024-05-12
About
This badge earner comprehends unsupervised learning and its applications, including clustering with k-means. They grasp computational challenges in clustering algorithms and methods to overcome them, comparing and selecting techniques suitable for data. Moreover, they are familiar with dimensionality reduction methods such as Principal Component Analysis, Kernel Principal Component Analysis, and matrix factorization for managing big data and text mining tasks.
Skills
Issued by IBM via Credly – May 2024
Credential Verification & Framework
This digital badge represents verified technical competence and successful completion of coursework, hands-on labs, and practical assessments administered by IBM. Micro-credentials issued through Credly contain tamper-proof cryptographic metadata confirming the recipient identity and the specific criteria required for earnability.
As part of Ankur Halder's commitment to continuous professional development, all earned badges are periodically synced and cross-referenced against official learning provider transcripts to maintain an accurate, transparent record of skills across cloud architecture, full-stack engineering, and security practices.
Earning this credential involved rigorous domain evaluation, including demonstrating mastery over industry-standard concepts, applying problem-solving strategies in real-world scenarios, and completing hands-on project milestones. The competencies validated by this badge contribute directly to engineering robust, scalable web applications and maintaining production software reliability.
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