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AI ML Course

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What will I learn?

ብዛዕባ AI (ምህንድስና ኣእምሮ)ን ML (ማሽን መሃረምቲ) ሓይልታት ኣብ ንግዲ ብልጽግና ከመይ ከም እትጥቀመሎም ኣብዚ ሰፊሕ AI/ML ትምህርቲ ተማሃር። ናይ ዓማዊል ምብትታን (Customer Churn) ከመይ ምዃኑ ተረድእ፣ ዳታ ቅድመ-መስርሕ ከመይ ከም እትሰርሕ፣ ከምኡ'ውን ከም ሎጂስቲክ ሬግረሽንን (Logistic Regression) ከም መወሳወሲ ኦም (Decision Trees) ዝኣመሰሉ ናይ ምምዳብ ስልተ-ምህንድስናታት ተቘጻጸር። ተግባራዊ ኣስተውዓልታታት ከመይ ከም እትርክብ፣ ሞዴላት ከመይ ከምትስጉምን ብዳታ ዝተመርኮሰ ምኽርታት ከመይ ከም እትህብ ተምሃር። እዚ ትምህርቲ ብውልቂ ንኽትመሃሮ ምቹእ ዝኾነ፣ ኣብ ዳታ ምእካብ፣ ሞዴል ገምጋምን ትንበያ ምብትታንን ክእለትካ ንምዕባይ ንእትደሊ ሰብ ፍጹም እዩ።

Apoia's Unique Features

Unlimited access to courses for life
Certification aligned with educational standards
Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

ንምብትታን ዓማዊል ምቁጽጻር: ኣብ ንግዲ ስዕረት ናይ ምብትታን ጽልዋ ተንትንን ኣህድእ።

ዳታ ቅድመ-መስርሕ: ዝተጎደሉ ዋጋታትን መለለዪታት ንምስራዕ ብግቡእ ተጠቀም።

ትንበያ ሞዴል ምትካል: ን ትንበያ ምብትታን ሎጂስቲክ ሬግረሽንን (Logistic Regression) ከም መወሳወሲ ኦም (Decision Trees) ተጠቀም።

ሞዴል ገምጋም: ልክዕነት፣ ትኽክለኝነት፣ ምዝኽኻርን ከምኡ'ውን F1-ነጥቢ ብግቡእ ገምግም።

ሞዴል ምምሕያሽ: ንዝሓሸ ውጽኢት መስቀላዊ ምርግጋጽን (Cross-Validation) ሃይፐርፓራሜተር ምጥዕዓንን (Hyperparameter Tuning) ተጠቀም።

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.