Python AI ML Course
What will I learn?
Unlock the power of Python in AI and ML with our comprehensive course, specifically designed for Business Intelligence professionals. Delve into data pre-processing, mastering techniques such as handling missing data and outlier detection. Improve your forecasting skills with LSTM, ARIMA, and Prophet models. Learn how to optimise models through hyperparameter tuning and grid search methods. Develop expertise in feature engineering and data exploration, and confidently interpret and report findings. Enhance your BI career with practical, high-quality insights.
Apoia's Advantages
Develop skills
Strengthen the development of the practical skills listed below
Master data pre-processing: Handle missing data, normalise data, and detect outliers.
Analyse model predictions: Interpret findings and create insightful reports.
Forecast with time series: Utilise 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.
Suggested summary
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.