Please enable JavaScript.
Coggle requires JavaScript to display documents.
Data Preprocessing Techniques - Coggle Diagram
Data Preprocessing Techniques
Data Cleaning
Handle Missing Data
Imputation (Mean, Median, Mode)
Deletion (Row or Column)
Interpolation
Outlier Detection
Z-Score
IQR (Interquartile Range)
Visualization (Box plots)
Noise Reduction
Smoothing Techniques
Filtering Techniques
Data Transformation
Normalization (Min-Max Scaling)
Standardization (Z-Score Scaling)
Log Transformation
Data Encoding
Categorical Data
One-Hot Encoding
Label Encoding
Binary Encoding
Text Data
Tokenization
TF-IDF Encoding
Word Embeddings (Word2Vec, GloVe)
Data Reduction
Dimensionality Reduction
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
t-Distributed Stochastic Neighbor Embedding (t-SNE)
Feature Selection
Filter Methods (Correlation, Chi-Square)
Wrapper Methods (Forward Selection, Backward Elimination)
Embedded Methods (Lasso, Random Forest Feature Importance)
Data Scaling
Min-Max Scaling
Z-Score Scaling
Robust Scaling