Answer / Sunil Agarwal

SAS, R, and Python are popular programming languages used in data analysis and machine learning:n1. SAS: Primarily designed for business intelligence, statistical analysis, and predictive analytics; has a proprietary language with a graphical user interface (GUI).n2. R: Open-source language and software environment for statistical computing and graphics; powerful for statistical analysis and data visualization.n3. Python: General-purpose programming language used in various domains, including machine learning and data science; known for its simplicity, readability, and extensive libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.

What is svm algorithm?

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What is the Model Building in Machine Learning?

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What is semi-supervised Machine Learning?

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What are support vector machines?

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What is Overfitting? And how do you ensure you’re not overfitting with a model?

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What is the “kernel trick” and how is it useful?

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What do you understand by Precision and Recall?

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Explain me what is machine learning?

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What are the different types of algorithm methods in machine learning?

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Why does overfitting happen?

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What is conditional probability explain with an example?

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What do you mean by genetic programming?

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