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How is accuracy calculated Tensorflow? Class Accuracy Defined in tensorflow/python/keras/metrics.py. Calculates how often predictions matches labels. For example, if y_true is [1, 2, 3, 4]…
What problem is batch normalization to address? Batch normalization is a technique to standardize the inputs to a network, applied to ether the activations of…
How can you detect outliers in a multivariate setting? Multivariate outliers can be identified with the use of Mahalanobis distance, which is the distance of…
What do missing values do in a dataset? If the missing values in a column or feature are numerical, the values can be imputed by…
What are rare events in Machine Learning? If you are in Data Science, sooner or later, you will have to deal with a common problem…
What kind of problems would K-means be suitable for? k-means can typically be applied to data that has a smaller number of dimensions, is numeric,…
What methods can be used to represent data? Tables, charts and graphs are all ways of representing data, and they can be used for two…
Can we use random forest for forecasting? Random Forest can also be used for time series forecasting, although it requires that the time series dataset…
How do you code Mario in Python? Steps on how to create a Mario Game In Python Step 1: Create a project name. First open…
How are certificates verified? To verify a certificate, a browser will obtain a sequence of certificates, each one having signed the next certificate in the…