There’s no doubt about it, probability and statistics is an enormous field, encompassing topics from the familiar (like the average) to the complex (regression analysis,… Read More »Statistics for Data Science in One Picture
ANOVA is a test to see if there are differences between groups. Put simply, “One-way” or “two-way” refers to the number of independent variables (IVs) in your… Read More »One Way vs Two Way ANOVA + Factorial ANOVA: A Comparison in one Picture
This simple picture shows the differences between descriptive statistics and Inferential statistics. More information about Descriptive and Inferential Statistics: What is “Descriptive Statistics”? What is… Read More »Descriptive vs. Inferential Statistics in One Picture
The following picture shows the differences between the Z Test and T Test. Not sure which one to use? Find out more here: T-Score vs. Z-Score.
Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three methods are similar,… Read More »Decision Tree vs Random Forest vs Gradient Boosting Machines: Explained Simply
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques In this post,… Read More »Comparing Model Evaluation Techniques Part 3: Regression Models
In part 1, I compared a few model evaluation techniques that fall under the umbrella of ‘general statistical tools and tests’. Here in Part 2 I… Read More »Comparing Model Evaluation Techniques Part 2: Classification and Clustering