- 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 Categorical Data.
- Categorical data in Machine Learning refers to data that consists of categories or labels, rather than numerical values.
- These categories might have no inherent order or ranking between them like color or gender or ordinal.
- Categorical data refers to natural ordering between the categories like education level, income bracket).