Category: Python
-
How to Create a Log-Log Plot in Python
A log-log plot, also known as a double logarithmic plot, is a useful visualization tool for analyzing data that follows a power law distribution. Power law distributions are characterized by the property that the probability of an event occurring is inversely proportional to the size of the event. In other words, large events are less…
-
How to Calculate Partial Correlation in Python
Correlation is a statistical method used to measure the linear relationship between two variables. However, sometimes we want to know the relationship between two variables while controlling for the effect of a third variable. This is where partial correlation comes in. In this article, we will discuss the concept of partial correlation and how to…
-
How to Perform Z-Tests in Python
Z-tests are a type of statistical hypothesis test used to determine if the population mean differs from a known value, called the hypothesized mean. This test is particularly useful when the population standard deviation is unknown and the sample size is large enough (n > 30). The null hypothesis, H₀, states that there is no…
-
How to Simulate Roulette with Monte Carlo in Python
Ready to take a spin on probability with Python? Let’s build a Monte Carlo simulation for a roulette wheel and visualize the possible outcomes as random walks. Buckle up! 1. Define the Model: A roulette wheel has 37 slots (European version): 18 red, 18 black, and 1 green (0). Your goal is to simulate placing…
-
A Complete List of Popular Python Tutorials
Tutorial: Creating a Linear Regression in Python How to Use One-Way ANOVA in Python with the Iris Dataset How to Simulate Roulette with Monte Carlo in Python How to Calculate Spearman Rank Correlation in Python How to Make a Bell Curve in Python How to Calculate Conditional Probability in Python How to Create a Population…
-
Tutorial: Creating a Linear Regression in Python
This tutorial guides you through building a linear regression model in Python, covering importing libraries, loading data, fitting the model, and interpreting results. 1. Import Libraries 2. Load Data Replace with your actual data source: sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) predicted_y species 0 5.1 3.5 1.4 0.2 3.503062…
-
How to Use One-Way ANOVA in Python with the Iris Dataset
This tutorial demonstrates how to perform a one-way ANOVA in Python using the sklearn.feature_selection.f_classif function from the scikit-learn library. We’ll work with the iris dataset included in scikit-learn for an example. Importing Libraries: Loading the Iris Dataset: One-Way ANOVA with scikit-learn: Explanation: Interpreting Results: In this example, the f_statistic and p_value will depend on the…
