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 ...