ashishtele/Quick-Notes-for-ML-DS
It contains interview preparation notes provided by iNeuron, important links, MLOps resources
This collection helps aspiring data scientists, machine learning engineers, and MLOps practitioners prepare for technical interviews and deepen their understanding of core concepts. It provides curated notes, articles, and external links covering essential topics like feature selection, statistical tests, model evaluation, and system design. Anyone looking to brush up on machine learning fundamentals or prepare for a role in data science or MLOps will find this resource valuable.
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Use this if you are preparing for a job interview in data science, machine learning, or MLOps, or want a structured way to review key theoretical and practical concepts.
Not ideal if you are looking for executable code, hands-on tutorials, or an in-depth textbook replacement for learning new concepts from scratch.
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