## Utilizing Zero-Width Assertions with grep

Utilizing Zero-Width Assertions with grep

more ...Utilizing Zero-Width Assertions with grep

more ...Estimating Logistic Regression Coefficents From Scratch in Python

more ...Assessing goodness-of-fit in Python with Scipy

more ...Kernel Density Estimation in Python

more ...Expectation maximization from scratch in R

more ...Correcting the bias in estimators of population variance

more ...Derivation of the Normal Equations via Least Squares and Maximum Likelihood

more ...Assessing the quality of fit for logistic regression models

more ...Creating R Packages with devtools and roxygen

more ...Updating sample mean and variance to account for new observations without full recalculation

more ...Derivation of the Poisson Distribution as a Limiting Case of the Binomial PDF

more ...Smoothed Empirical Percentile Matching with Python implementation

more ...Four Approaches to Loss Triangle Creation in R

more ...Polynomial interpolation via Newton's divided differences

more ...A simple, effective PDF harvester in Python

more ...Computing the product of a variable number of columns using data.table

more ...Creating runoff triangles in R

more ...Data aggregation with data.table

more ...Using the Freedman-Diaconis Rule to determine optimal histogram bin width

more ...Finding logLikelihood estimates using optim in R

more ...Finding roots of equations in R with uniroot

more ...Using parameterized decorators in Python with applications

more ...Performing rolling joins with data.table

more ...Querying SQL Server from R on Windows

more ...Querying SQL server with Pandas

more ...