Python AI ML Course
What will I learn?
Unlock the power of Python in AI and ML with our comprehensive course tailored for Business Intelligence professionals. Dive into data preprocessing, mastering techniques like handling missing data and outlier detection. Enhance your forecasting skills with LSTM, ARIMA, and Prophet models. Learn 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, high-quality insights.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data preprocessing: Handle missing data, normalise, and detect outliers.
Analyse model predictions: Interpret results 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.