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Python AI ML Course
Unlock the power of Python in AI and ML with our comprehensive course, specifically designed for Business Intelligence professionals. Dive into data preprocessing, mastering techniques like dealing with missing data and outlier detection. Sharpen your forecasting skills with LSTM, ARIMA, and Prophet models. Learn how to optimise models through hyperparameter tuning and grid search. Gain expertise in feature engineering and data exploration, and confidently interpret and report results. Elevate your BI career with practical, top-notch insights.
- Master data preprocessing: Deal with missing data, normalise, and detect outliers.
- Analyse model predictions: Interpret results and create insightful reports.
- Forecast with time series: Use LSTM, Prophet, and ARIMA models effectively.
- Engineer features: Incorporate domain knowledge and evaluate feature importance.
- Optimise models: Perform hyperparameter tuning and conduct grid/random searches.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Python in AI and ML with our comprehensive course, specifically designed for Business Intelligence professionals. Dive into data preprocessing, mastering techniques like dealing with missing data and outlier detection. Sharpen your forecasting skills with LSTM, ARIMA, and Prophet models. Learn how to optimise models through hyperparameter tuning and grid search. Gain expertise in feature engineering and data exploration, and confidently interpret and report results. Elevate your BI career with practical, top-notch insights.
Elevify advantages
Develop skills
- Master data preprocessing: Deal with missing data, normalise, and detect outliers.
- Analyse model predictions: Interpret results and create insightful reports.
- Forecast with time series: Use LSTM, Prophet, and ARIMA models effectively.
- Engineer features: Incorporate domain knowledge and evaluate feature importance.
- Optimise models: Perform hyperparameter tuning and conduct grid/random searches.
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