Important definitions and terminologies used in Predictive Analytics
A
- Adaptive boosting in Predictive Analytics
- Algorithm in Predictive Analytics
- Analytical CRM (aCRM) in Predictive Analytics
- Anomaly detection in Predictive Analytics
- Anova in Predictive Analytics
- Approximate Bayesian computation in Predictive Analytics
- Association analysis in Predictive Analytics
- Association rule mining in Predictive Analytics
- Association rules in Predictive Analytics
- Autoencoder in Predictive Analytics
- AutoML in Predictive Analytics
B
- Bagging in Predictive Analytics
- Bayesian network in Predictive Analytics
- Bayesian optimization in Predictive Analytics
- Bernoulli distribution in Predictive Analytics
- Big data in Predictive Analytics
- Big O notation in Predictive Analytics
- Binary classification in Predictive Analytics
- Binning in Predictive Analytics
- Boosting in Predictive Analytics
- Box plot in Predictive Analytics
- Business intelligence in Predictive Analytics
C
- Chi-squared test in Predictive Analytics
- Churn Analysis (Attrition Analysis) in Predictive Analytics
- Classification in Predictive Analytics
- Clustering in Predictive Analytics
- Collaborative filtering in Predictive Analytics
- Conjoint (Trade-off) Analysis in Predictive Analytics
- Content-based filtering in Predictive Analytics
- Credit Scoring in Predictive Analytics
- Cross / Up selling in Predictive Analytics
- Cross-validation in Predictive Analytics
- Customer Segmentation & Profiling in Predictive Analytics
D
- Data exploration in Predictive Analytics
- Data Mart in Predictive Analytics
- Data mining in Predictive Analytics
- Data Quality in Predictive Analytics
- Data Warehouse in Predictive Analytics
- Decision boundary in Predictive Analytics
- Decision tree in Predictive Analytics
- Deep learning in Predictive Analytics
- Dimensionality reduction in Predictive Analytics
E
- Elastic net in Predictive Analytics
- Elastic net regression in Predictive Analytics
- Ensemble learning in Predictive Analytics
- ETL (Extract-Transform-Load) in Predictive Analytics
- Exploratory data analysis in Predictive Analytics
F
- F-measure in Predictive Analytics
- F1-score in Predictive Analytics
- Feature engineering in Predictive Analytics
- Forecasting in Predictive Analytics
- Fraud Detection in Predictive Analytics
G
- Generalized linear model in Predictive Analytics
- Gradient boosting in Predictive Analytics
- Gradient descent in Predictive Analytics
H
- Hadoop in Predictive Analytics
- Hidden Markov model in Predictive Analytics
- Hierarchical clustering in Predictive Analytics
- Hyperparameter in Predictive Analytics
- Hyperplane in Predictive Analytics
I
- Information gain in Predictive Analytics
- IoT (Internet of Things) in Predictive Analytics
K
- K-means clustering in Predictive Analytics
- K-nearest neighbors in Predictive Analytics
- Kernel density estimation in Predictive Analytics
- Kernel methods in Predictive Analytics
L
- L1 regularization in Predictive Analytics
- Lasso in Predictive Analytics
- Linear regression in Predictive Analytics
- Logistic regression in Predictive Analytics
- LTV (Lifetime Value) of a customer in Predictive Analytics
M
- Machine learning in Predictive Analytics
- Mahalanobis distance in Predictive Analytics
- Market Basket Analysis in Predictive Analytics
- Mean absolute error in Predictive Analytics
- Mean squared error. in Predictive Analytics
- Multilayer perceptron in Predictive Analytics
- Multivariate analysis in Predictive Analytics
- Mutual information in Predictive Analytics
N
- Naive Bayes in Predictive Analytics
- Natural language processing in Predictive Analytics
- Nearest-neighbor algorithm in Predictive Analytics
- Neural architecture search in Predictive Analytics
- Neural network in Predictive Analytics
- Nonlinear regression in Predictive Analytics
- Nonparametric regression in Predictive Analytics
O
- OLAP (On-Line Analytical Processing) in Predictive Analytics
- Optimization in Predictive Analytics
- Ordinary least squares in Predictive Analytics
- Outlier detection in Predictive Analytics
- Overfitting in Predictive Analytics
P
- Precision in Predictive Analytics
- Precision-recall curve in Predictive Analytics
- Predictive Analytics in Predictive Analytics
- Principal component analysis in Predictive Analytics
- Principal component regression in Predictive Analytics
- Probability distribution in Predictive Analytics
- PyTorch in Predictive Analytics
Q
- Quantile regression in Predictive Analytics
R
- Random forest in Predictive Analytics
- Randomized search in Predictive Analytics
- Real Time Decisioning (RTD) in Predictive Analytics
- Recommender systems in Predictive Analytics
- Recurrent neural network in Predictive Analytics
- Regression analysis in Predictive Analytics
- Reinforcement learning in Predictive Analytics
- Retention (Customer Retention) in Predictive Analytics
- Ridge and Lasso regression in Predictive Analytics
- Ridge regression in Predictive Analytics
- ROC curve in Predictive Analytics
S
- Sampling in Predictive Analytics
- Scikit-learn in Predictive Analytics
- Semi-supervised learning in Predictive Analytics
- Sentiment analysis in Predictive Analytics
- Singular value decomposition in Predictive Analytics
- Singular value thresholding in Predictive Analytics
- Social Network Analysis (SNA) in Predictive Analytics
- Social network analysis in Predictive Analytics
- Sparse regression in Predictive Analytics
- Stationarity in Predictive Analytics
- Statistical modeling in Predictive Analytics
- Stochastic gradient descent in Predictive Analytics
- Supervised learning in Predictive Analytics
- Support vector machine in Predictive Analytics
- Support vector regression in Predictive Analytics
- Survival analysis in Predictive Analytics
- Synthetic data in Predictive Analytics
T
- Tensorflow in Predictive Analytics
- Text analytics in Predictive Analytics
- Text Mining in Predictive Analytics
- Time series analysis in Predictive Analytics
- Time-series forecasting in Predictive Analytics
- Top-N recommendation in Predictive Analytics
- Topological data analysis in Predictive Analytics
- Transfer entropy in Predictive Analytics
- Transfer learning in Predictive Analytics
- Tree-based methods in Predictive Analytics
- Two-sample test in Predictive Analytics
U
- Undersampling in Predictive Analytics
- Unstructured Data in Predictive Analytics
- Unsupervised learning in Predictive Analytics
V
- Variance in Predictive Analytics
- Variational autoencoder in Predictive Analytics
- Vector autoregression in Predictive Analytics
W
- Web Mining (Web Data Mining) in Predictive Analytics
- Weight decay in Predictive Analytics
X
- XGBoost in Predictive Analytics
Z
- Zero-inflated models in Predictive Analytics