- ML Introduction
- ML Logistic Regression
- ML Linear Regression
- ML Data Clustering
- ML Categorical Data
- ML Decision Tree
- ML K-Means
- ML KNN
- ML Linear Graph
- ML Data Cleaning
- ML Data Distribution
- ML Standard Deviation
- ML Scatter Plot
- ML Polynomial Regression
- ML Confusion Matrix
- ML K Nearest Neighbor
- ML Training
- ML Data Distribution
- ML Classification Regression
- ML Random Forest
- ML Deployment
- ML Deep Learning
- ML Reinforcement Learning
- ML Dimensionality Reduction
- ML Neural Network
ML Scatter Plot.
Scatter plot is one of the most important data visualization techniques and it is considered one of the Seven Basic Tools of Quality. A scatter plot is used to plot the relationship between two variables, on a two-dimensional graph that is known as Cartesian Plane on mathematical grounds.
It is generally used to plot the relationship between one independent variable and one dependent variable, where an independent variable is plotted on the x-axis and a dependent variable is plotted on the y-axis so that you can visualize the effect of the independent variable on the dependent variable. These plots are known as Scatter Plot Graph or Scatter Diagram.