Leah's Deep Dive into ML/AI Engineering🚀

Specializing in AI engineering & NLP. Data Scientist by profession, decipherer of data by passion.

Day136 - STAT Review: Classification (6)

March 8, 2025 6 minute read

Practical Statistics for Data Scientists: Evaluating Classification Models (Confusion Matrix, ROC-AUC & Lift)

March 7, 2025 3 minute read

Practical Statistics for Data Scientists: Logistic Regression (3) Assessing the Model

March 5, 2025 4 minute read

Practical Statistics for Data Scientists: Logistic Regression (2) (GLM, Interpretation, Fitting the Model)

March 3, 2025 5 minute read

Practical Statistics for Data Scientists: Logistic Regression (1) (Mathematic Foundation: Odds, Logit Function, Formula, and Examples)

March 2, 2025 5 minute read

Practical Statistics for Data Scientists: Discriminant Analysis (Covariance, Discriminant Function, and Application: Predicting Default Risk)

March 1, 2025 6 minute read

Practical Statistics for Data Scientists: Naive Bayes (Theoretical Approach, Code Source, & Prediction)

February 28, 2025 4 minute read

Practical Statistics for Data Scientists: Weighted Regression, and Interactions and Main Effects in Regression in Depth

February 26, 2025 4 minute read

Practical Statistics for Data Scientists: Stepwise Regression & Model Selection in Depth

February 25, 2025 4 minute read

Mathematical Principles: Non-parametric Inference (Wilcoxon Signed-Rank Test & Wilcoxon Rank-Sum Test)

February 24, 2025 4 minute read

Mathematical Principles: Inference on Proportions- Sample Size Estimation, Hypothesis Testing, and Chi-Squared Test