Machine Learning

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Lets visualize our data with Strip Plot which is present in Seaborn library. We can also use Strip ...
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We can create pandas data frame in different ways. We can load data from CSV and Excel files. ...
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In binning technique, we divide continuous numeric values in some groups or ranges called bins. It helps in ...
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Machine Learning algorithms require all inputs to be numeric, so we should convert all our categorical variables into ...
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We can easily filter out any subset of data from the pandas data frame. We can filter values ...
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apply function returns some value after passing each row/column of a data frame with some function. The function can ...
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describe() function gives all the statistical information about all the numeric columns in the dataset like count, mean, ...
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Lets impute missing values in a variables by taking mode of all the values present in that variable. ...
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You can easily sort your dataset based on single or multiple columns. First you need to load your ...
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astype function is used to change the datatypes of the variables in pandas dataframe. When we load a ...
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Frequency Table displays the frequency of occurrence of each and every category in a feature. This provides a ...
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Pandas Lambda Functions are very handy in Data Wrangling step. We will see how to apply lambda functions ...

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