Jun 16, 2020 | Data Science, Machine Learning, Python Programming, R Programming

In statistics, imputation is the process of substituting the missing values in the data with some appropriate values. Why impute the missing value? Because statistical packages discard the...
Jun 10, 2020 | Data Science, Machine Learning, Python Programming, R Programming

Outlier Outliers are the extreme values in the data. If the value of a variable is too large or too small, i.e, if the value is beyond a certain acceptable range then we consider that value to be an...
Jun 10, 2020 | Data Science, R Programming, Statistics

Analysis of Two Continuous Variables In the earlier blogs, we have learned about the Analysis of Single Continuous and Single Categorical variable. In this blog, we will analyze Two Continuous...
Jun 1, 2020 | Data Science, R Programming, Statistics

Analysis of Single Continuous Variable In our earlier blog, we learned to analyze a Single Categorical Variable in R. In this blog, we will Analyze a Single Continuous Variable in R. The below...
May 25, 2020 | Data Science, Python Programming, R Programming

Train – Test Split Code In the previous blog, we learned that Train/Test is the method used to evaluate supervised machine learning models. Let us see how to split the data in training and...
May 9, 2020 | Data Science, Python Programming, R Programming

Dear Blog Reader – “Welcome to our Linear Regression in Machine Learning blog series”. In this blog series, we have provided a detailed step-by-step guide to building a Linear...
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