MONTPELLIER
Learning from Data | Data to Insight |
Turning Data to Insight, Data Wrangling / Data cleaning and manipulation, Learning a Model, Feature Engineering, Building Predictive Model and Validation. Model building, Model convergence checking and Model Selection. Data Visualization.
Machine Learning Algorithms |Predictive Models
K-means, KNN, Decision Trees; Times Series Forecasting, Mixture Models. Regression Models: Linear Regression, Logistics regression, Ridge, Lasso, Elastic nets. Support Vector Machine: kernel Machine. Ensemble Learning Methods: Random Forest, Boosting, Bagging, Stochastic Gradient Boosting Machine. Advanced Models: Neural Network.
Business Analytics|Decision Making under Uncertainty |
- Credit scoring Analytics
- Customer churn analytics
- Sentiment analysis
- Customer targeting
- Fraud detection / Anomaly detection
- Time series predicting
Pas de formation renseignée
