Recent questions tagged machine-learning

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Consider a simplified Recurrent Neural Network (RNN) with a single input and a single output. The hidden state is updated using the recurrence:$$ h_t = \text{ReLU}(W_{ih}...
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For the following neural network, calculate accuracy of classification, given these settings
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When pre processing data for machine learning. Is there any difference in using one hot encoding to turn categoric variables into numeric variables or to segment the data...
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Given the following sample dataset with 5 samples and 2 features:SampleFeature 1Feature 2Actual ValuePredicted Value1234623456345674567856789Calculate the residual errors...
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I am trying to extract information such as profits, revenues and others along with their corresponding dates and quarters from an unstructured text about stock market and...
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I have a dataset with 7 labels in the target variable.X = data.drop('target', axis=1) Y = data['target'] Y.unique()array(['Normal_Weight', 'Overweight_Level_I', 'Overweig...
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I have the code below, outputting the accuracy. How can I output the F1-score instead? Thanks in advance,clf.fit(data_train,target_train) preds = clf.predict(data_test) #...
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from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from sklearn.model_selection import train_test_splitmodel = Sequential() ...
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It's a car prices dataset, and so I'm assuming that the more recent the more value a car should have. The values in the 'year' column simply consist of years from 1995 to...
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So say I have a column with categorical data like different styles of temperature: 'Lukewarm', 'Hot', 'Scalding', 'Cold', 'Frostbite',... etc.I know that we can use pd.ge...
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So, I live in Brazil, and I have a task for college that I don't know what data science method to use, if at all, to solve it. My idea is the following: We Brazilians hav...
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Hello,I trained a CNN using synthetic data to perform a segmentation task on human faces. During the test and to evaluate the prediction of this network, I used 200 examp...
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The old keypad of the telephone, it has 10 numbers (10 keys) , this keypad allows the user to enter a text by successively pressing certain key many times in a small peri...
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I need some tool to classify articles based on short category text which consists of two or three words separated by '-'. The RSS/XML tag content is for example:Foreign -...
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When I standardized my data when I created my model. Do I need to save the standardization transformation when I want to predict with my model new data ?
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Hi. I have a question about model-based predictions when data is only available after the fact. Let me give you an example. I try to predict the result (HOME, AWAY or a D...
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So far, I have modeled on known historical data. What if there are variables known only after the fact?Let me give you an example. I want to predict the outcome of the ma...
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“During the last decade, the advent of microarray datasets stimulated a new line of research called Bioinformatics. A microarray database is a repository containing micro...