Brass is an alloy of copper and zinc. Generally brass contains 60% copper and 40% zinc. These are used for making bearings, pump fittings, bushes and utensils.
Bronze contains copper and tin. It is comparatively hard, surface wear is less, can be remolded into any shape like wires, sheets, rods etc.
Tell me how much data will you allocate for your training, validation and test sets?
Tell us an example where ensemble techniques might be useful?
Tell us how can we use your machine learning skills to generate revenue?
Explain me what’s your favorite algorithm, and can you explain it to me in less than a minute?
Can you list some use cases where classification machine learning algorithms can be used?
Tell me what is precision and recall?
Tell us where do you usually source datasets?
What is the difference between L1 and L2 regularization?
Tell me what is the difference between bias and variance?
Tell us how do you handle missing or corrupted data in a dataset?
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