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diff --git a/book/module4/linear_regression.tex b/book/module4/linear_regression.tex deleted file mode 100644 index 5cd81db..0000000 --- a/book/module4/linear_regression.tex +++ /dev/null @@ -1,22 +0,0 @@ -\section{Linear Regression}\label{linear-regression} - -\subsection{Statical tools}\label{statical-tools} - -Numpy comes with some useful statistical tools that we can use to -analyze our data. - -\subsubsection{Mean}\label{mean} - -The mean is the average of a set of numbers. It is calculated by summing -all the numbers and dividing by the count of numbers. - -\begin{Shaded} -\begin{Highlighting}[] -\ImportTok{import}\NormalTok{ numpy }\ImportTok{as}\NormalTok{ np} - -\NormalTok{mean }\OperatorTok{=}\NormalTok{ np.mean([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])} -\NormalTok{median }\OperatorTok{=}\NormalTok{ np.median([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])} -\NormalTok{std }\OperatorTok{=}\NormalTok{ np.std([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])} -\NormalTok{variance }\OperatorTok{=}\NormalTok{ np.var([}\DecValTok{1}\NormalTok{, }\DecValTok{2}\NormalTok{, }\DecValTok{3}\NormalTok{, }\DecValTok{4}\NormalTok{, }\DecValTok{5}\NormalTok{])} -\end{Highlighting} -\end{Shaded} |
