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Join two or more arrays using `numpy.concatenate`
Read more ...: Join two or more arrays using `numpy.concatenate`np.concatenate is used for concatenating numpy arrays.We will discuss here some of the functionalities of this method of numpy arrays.It takes a list of two or more arrays as input…
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Convert class labels to categories using keras
Read more ...: Convert class labels to categories using kerasClass labels can be converted to OneHot encoded array using keras.utils.to_categorical.The resultant array has number of rows equal to the number of samples, and number of columns equal to the…
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Change elements of an array based on a condition using np.where
Read more ...: Change elements of an array based on a condition using np.whereLet’s say we want to convert multiple categorical variables into binary variables by selecting one category as “0” and the rest as “1”. Or we want to change the values…
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Histograms are the best way to visualize distribution of data points
Read more ...: Histograms are the best way to visualize distribution of data pointsData distribution plots help visualize how quantitative data points are spread over the range of their values. Distribution of quantitative data can be shown in various ways such as box-plots,…
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How to save python objects using joblib
Read more ...: How to save python objects using joblibOften times you would want to save python objects for later use. For example, a dataset you constructed which could be used for several projects, or a transformer object with…
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Data regularization using scikit-learn
Read more ...: Data regularization using scikit-learnThe `preprocessing` package in scikit-learn provides normalization function. Following is how we can do the L1 and L2 norm. L1 normalization L1 normalization transforms the data such that the sum…
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How to plot metabolite concentrations in R?
Read more ...: How to plot metabolite concentrations in R?See how to plot a bar-graph in R using ggplot.