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Advanced Machine Learning Course
Take your Business Intelligence skills to the next level with our Advanced Machine Learning Course. Dig deep into how to explore data, become a master at predicting what will happen, and learn how to understand what model predictions really mean. Become an expert in guessing what will happen in the future using ARIMA, Prophet, and LSTM models. Get better at training models, seeing how good they are, and fine-tuning them to work even better. This course gives you useful, top-quality things to learn so you can get the tools you need to make smart decisions based on data.
- Master how to explore data: Find hidden things using EDA and ways to see the data clearly.
- Predictive analysis skills: Understand what models say will happen and tell people about it clearly.
- Time series expertise: Learn how to use ARIMA, Prophet, and LSTM models for guessing what will happen in the future.
- Model evaluation techniques: Use cross-validation and different ways to measure how good the model is.
- Hyperparameter tuning: Make models work their best by using grid search and Bayesian methods.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Take your Business Intelligence skills to the next level with our Advanced Machine Learning Course. Dig deep into how to explore data, become a master at predicting what will happen, and learn how to understand what model predictions really mean. Become an expert in guessing what will happen in the future using ARIMA, Prophet, and LSTM models. Get better at training models, seeing how good they are, and fine-tuning them to work even better. This course gives you useful, top-quality things to learn so you can get the tools you need to make smart decisions based on data.
Elevify advantages
Develop skills
- Master how to explore data: Find hidden things using EDA and ways to see the data clearly.
- Predictive analysis skills: Understand what models say will happen and tell people about it clearly.
- Time series expertise: Learn how to use ARIMA, Prophet, and LSTM models for guessing what will happen in the future.
- Model evaluation techniques: Use cross-validation and different ways to measure how good the model is.
- Hyperparameter tuning: Make models work their best by using grid search and Bayesian methods.
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