Meerkat Statistics
I'm David Refaeli, M.Sc. in Statistics and Data Science from Tel-Aviv University.
I make these videos to really hone topics which I found a bit challenging, and to share this knowledge with others who might struggle like I did.
Mistakes are possible (please comment or send me an e-mail if you believe you found one!).
Paypal.Me: paypal.me/MeerkatStatistics (preferred)
Копулас 2: Глубокое погружение в R
Копулы 1: Нежное введение
The Map of Statistics (all of Statistics in 15 mins!) - Upscaled using AI
MCMC - 5 - Hamiltonian Monte Carlo (HMC)
MCMC - 4 - Gibbs Sampling
MCMC - 3 - Random Walk MCMC (Metropolis-Hastings)
MCMC - 2 - Markov Chains
MCMC - 1 - Introduction to Markov Chain Monte Carlo
Conditional vs. Regular Logistic Regression (Theory + R Code)
TSA - ARIMA - Explore different models: AR(1), AR(2), MA(1), ARMA(1,1), etc.
TSA - ARIMA Introduction
GAM - Сплайны - Натуральный кубический сплайн, Сглаживающие сплайны
GAM - Сплайны - Введение (многочлены, кусочные многочлены, сплайны)
GLM vs. GAM - Generalized Additive Models
Regression Diagnostics (2/2) - Generalized Linear Models - Residuals, QQ-plot, Outliers
Regression Diagnostics (1/2) - Linear Models - Residuals, QQ-plot, Outliers
GLM - Multinomial Regression (3/3) - Ordinal Data (Cumulative Link)
GLM - Multinomial Regression (2/3) - Nominal Data (Baseline Category)
GLM - Multinomial Regression (1/3) - Intro
Trees - Weights and Feature Importance (Theory + Code)
Ускоренное время отказа (AFT) в сравнении с пропорциональными опасностями Кокса (CoxPH)
Accelerated Failure Time (AFT)
2 Examples - Mixed vs. Regular Models
Сокращение затрат и сложности (теория + код)
Build a Decision Tree from scratch using Python (numpy)
Decision Trees - Stop Criteria, Categorical Data, NA's, Implementation
Decision Trees - Split Criteria
Decision Trees
Quantile Regression - Numerical Solutions
Quantile Loss