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Which algorithm is used to predict the continuous values? Linear regression algorithm Linear regression algorithm is used if the labels are continuous, like the number…
How do you use a trained model in Azure ML? After the training pipeline completes, register the trained model to your Azure Machine Learning workspace…
What is machine learning machine learning for beginners? We can think of machine learning as the science of getting computers to learn automatically. It’s a…
Can we convert TensorFlow model to PyTorch? Once the model architecture is created in PyTorch, you could convert the pretrained weights from TF to PyTorch.…
How can we reduce dimensionality reduction? 3. Common Dimensionality Reduction Techniques 3.1 Missing Value Ratio. Suppose you’re given a dataset. 3.2 Low Variance Filter. 3.3…
What is cluster validity index? The cluster validity indices (CVIs) are used to identify optimal number of clusters, which provide the effective partitions into homogeneous…
What does pseudo R-squared mean in logistic regression? A pseudo R-squared only has meaning when compared to another pseudo R-squared of the same type, on…
Can Sklearn handle missing values? Missing values can be imputed with a provided constant value, or using the statistics (mean, median or most frequent) of…
How are tensors used in neural networks? What is a tensor? The inputs, outputs, and transformations within neural networks are all represented using tensors, and…
In what areas is pattern recognition used? Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data…