Mapa mental
MLDA
Contenido del mapa
MLDA
what is Predictive analytics
- Diagram
Applications
- what's ml
- How does it work
- What can go wrong
- under fitting
- overfitting
- graphs
- CRISPDM
- lifecycle of predective analytics
- 6 steps
- predictive analytics tools
- data analytics to insights to decision
- case study
- motor insurance case study
- access feseability
- claim prdiction
- Illustration to create an ABT
- ABT DESIGN
- MOTOR insurance fraud
- design and implementing features
- key feature for design and implementation
- different types of data and features
- handling time and examples
- 2 examples
- majorly consider motor insurance fraud
- 2 examples
- handling time and examples
- different types of data and features
- key feature for design and implementation
- design and implementing features
- access feseability
- motor insurance case study
- case study
- data analytics to insights to decision
- predictive analytics tools
- 6 steps
- lifecycle of predective analytics
- CRISPDM
- graphs
- overfitting
- under fitting
- What can go wrong
- Supervised ml
- Unsupervised
- How does it work
- what's ml
UNIT :01 TOPICS
Información
- Descripción
- cloud computing Mapa Mental sobre MLDA, creado por venkatasai Kiranmoyi el 25/05/2021.
- Creado por
- venkatasai Kiranmoyi
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