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AI And Machine Learning Course

What will I learn?

Advance your Business Intelligence career with our AI and Machine Learning Course. Become proficient in data preparation, covering formatting, managing missing values, and outlier treatment. Delve into predictive algorithms such as linear regression, decision trees, and sophisticated techniques like random forests. Fine-tune models using ensemble methods and hyperparameter tuning. Understand cross-validation, data splitting, and performance metrics. Improve your abilities in interpreting results and writing impactful reports. Enrol now for focused, top-notch learning designed for BI professionals.

Apoia's Advantages

Online course with lifetime access
Certificate aligned with educational standards
PDF summaries for download
24/7 online support available
Select and sequence the chapters you wish to study
Customize the course duration
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance the development of the practical skills mentioned below

Become proficient in data cleaning: Handle missing values and outliers with accuracy.

Implement ML algorithms: Apply linear regression and decision trees effectively.

Fine-tune models: Improve performance through hyperparameter tuning and ensemble methods.

Evaluate model accuracy: Use cross-validation and performance metrics like MAE and RMSE.

Report insights: Develop compelling reports and confidently analyse model predictions.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.