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Artificial Intelligence Machine Learning Course
Unleash the power of AI in business intelligence with our Artificial Intelligence Machine Learning Course. Delve into data collection, understanding how external factors affect things, how promotions impact sales, and looking at sales data from the past. Improve how well your models work by fine-tuning their settings and explore advanced methods like random search. Learn how to prepare data properly, train and assess models, including using cross-validation and looking at performance measures. Choose the best model by understanding random forests, gradient boosting, and neural networks. Improve your report writing skills and make business decisions that have a real impact.
- Become an expert at predicting sales by using external factors and data from the past.
- Improve how well your models work by fine-tuning and optimising their settings.
- Analyse how well models perform using statistical and machine learning methods.
- Prepare data properly: normalisation, removing duplicates, and dealing with missing information.
- Choose and train models: Random Forest, Gradient Boosting, Neural Networks.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unleash the power of AI in business intelligence with our Artificial Intelligence Machine Learning Course. Delve into data collection, understanding how external factors affect things, how promotions impact sales, and looking at sales data from the past. Improve how well your models work by fine-tuning their settings and explore advanced methods like random search. Learn how to prepare data properly, train and assess models, including using cross-validation and looking at performance measures. Choose the best model by understanding random forests, gradient boosting, and neural networks. Improve your report writing skills and make business decisions that have a real impact.
Elevify advantages
Develop skills
- Become an expert at predicting sales by using external factors and data from the past.
- Improve how well your models work by fine-tuning and optimising their settings.
- Analyse how well models perform using statistical and machine learning methods.
- Prepare data properly: normalisation, removing duplicates, and dealing with missing information.
- Choose and train models: Random Forest, Gradient Boosting, Neural Networks.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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