Data Science AI ML Course
What will I learn?
With our Data Science AI ML Course, prepared for technology professionals in Eritrea, you can unlock all the power of your data. Learn about feature selection strategies, master hyperparameter tuning, and investigate advanced machine learning algorithms such as Random Forest and Gradient Boosting. Gain practical experience with data pre-processing, model training, and assessment techniques. Learn how to understand model outputs and produce influential reports. This course provides you with the practical skills you need to succeed in the data-driven world.
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
Master feature selection to improve model accuracy and efficiency. (ብትግርኛ: ሞዴልካ ምእንቲ ጽቡቕን ብቕልጡፍን ክሰርሕ: ፍልልይ መምርሒ ምምራጽ ተማሃር።)
Optimize hyperparameters using advanced search techniques. (ብትግርኛ: ብዝተፈላለየ መንገዲታት ሃይፐርፓራሜተርስ ከመይ ገርካ ኸም ትቆጻጸሮ ተማሃር።)
Evaluate models with robust cross-validation and metrics. (ብትግርኛ: ሞዴላት ብጽኑዕ መስቀላዊ ምርመራን መለክዒታትን ከመይ ገርካ ከም ትግምግም ተማሃር።)
Explore data to identify patterns and outliers effectively. (ብትግርኛ: ንመሃድን ዘይተለምዱ ነገራትን ከመይ ገርካ ከም ትፈልጥ ተማሃር።)
Implement machine learning algorithms for predictive insights. (ብትግርኛ: ማሺን ከመይ ገርካ ከም ትምህርን ንዝመጽእ ኸም ትግምቶን ተማሃር።)
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change chapters and 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.