22 тысяч подписчиков
170 видео
Understanding derivatives - the basics
Support Vector Machines (SVM) - the basics | simply explained
Artificial neural networks (ANN) - explained super simple
Logistic regression : the basics - simply explained
Linear regression | the R-squared value
K nearest neighbors (KNN) - explained | validation
Assumptions in Linear Regression - explained | residual analysis
Validation techniques - explained with simple examples (Hold-out, cross-validation, LOOCV)
Paired vs unpaired t-test
Bootstrap confidence intervals - explained
The weighted mean - explained
The repeated-measures ANOVA | explained with a simple example
Range, interquartile range (IQR) and box plots
Population vs Sample
PCA : the basics - explained super simple
The one-sample t-test and p-values
How to check normal distribution | The normality assumption
Why we divide by n-1 when calculating the sample variance – the proof | unbiased estimator
MLE vs OLS | Maximum likelihood vs least squares in linear regression
Linear mixed effects models - the basics
Bayesian statistics - the basics
Sensitivity and specificity - clearly explained
Understanding cluster heat maps
The Wilcoxon signed-rank test & the sign test
Multiple linear regression - explained with two simple examples
Covariance and the correlation matrix - with simple examples
Partial least squares regression (PLSR) - explained
Odds vs Probability - explained
The t-distribution - why we need it | explained with confidence intervals
Understanding the odds ratio (OR) and the rare disease assumption | OR = RR?
The Mantel-Haenszel method - clearly explained | deal with confounding
Recurrent neural network (RNN) - explained super simple
Relative risk - how to calculate and interpret | 95% CI
Neural networks with continuous output | ANN vs Regression
Forward and backward selection and best subset selection
How to select a multivariate analysis or machine learning method
Canonical correlation analysis - explained
The standard error of the mean (SEM)| how to calculate and interpret | SE vs SD
Understanding ordinary differential equations (ODE) - super simple example
Post hoc test | Tukey's test and Dunnett's test – Explained
PCA : the math - step-by-step with a simple example
The Gauss Newton Method - explained with a simple example
Fisher's test and how to calculate the exact p-value
Meta-analysis | The inverse variance method | Forest plot in R
The Chi-square goodness of fit test | and the difference to the one-proportion Z-test
How to identify and deal with outliers | The 1.5 IQR rule | Boxplots
SPSS for beginners in 22 minutes - enter data, plot and t-test
Doubling time formulas with examples
How to solve ordinary differential equations (ODEs) in R (deSolve)
Expected value vs mean
