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Applied Machine Learning Course

Applied Machine Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

ናይ Business Intelligence ክእለትካ/ክእለትኪ ኣብዚ ትግበራ ዝተገበረ ማሽን ምምሃር ኮርስ ብምስታፍ ኣመሓይሽ/ኣመሓይሺ። እዚ ኮርስ'ዚ ነቶም ግቡእ ዝኾነን ጥዑምን ትምህርቲ ንምርካብ ዝደልዩ ሰብ ሞያ ተባሂሉ ዝተዳለወ እዩ። ከመይ ጌርካ data ምምዳብ ከም ትኽእል/ትኽእሊ ተምሃር/ተምሃሪ፡ ናይ feature engineering ኣድህቦትካ/ኣድህቦትኪ ኣስፍሕ/ኣስፍሒ፡ ከምኡ'ውን ናይ ሞዴል ምምራጽ ብቴክኒክታት ከም decision treesን ensemble methodsን መርምር/መርምሪ። ኣብ ሞዴል ምልምማድ፡ ገምጋምን ምምሕያሽን ዘለካ/ዘለኪ ተውህቦ ኣመሓይሽ/ኣመሓይሺ፡ ከምኡ'ውን ተግባራዊ ዝኾነ ምርዳእን ምኽርን ኣማዕብል/ኣማዕብሊ። እዚ ኮርስ'ዚ data ናብ ስትራተጂካዊ ውሳኔታት ንምቕያር የኽእለካ/የኽእለኪ፡ ኩሉ'ውን በቲ ንዓኻ/ንዓኺ ዝጥዕም ፍጥነት ክትገብሮ/ክትገብርዮ ትኽእል/ትኽእሊ ኢኻ/ኢኺ።

Elevify advantages

Develop skills

  • ን data ምምዳብ ምልላይ: Normalize ግበር/ግበሪ፡ ዘየለ data ተቆጻጸር/ተቆጻጸሪ፡ ከምኡ'ውን ተለዋወጥቲ encoding ግበር/ግበሪ።
  • ሞዴላት ኣመሓይሽ/ኣመሓይሺ: Hyperparameters ኣስተኻኽል/ኣስተኻኽሊ፡ ከምኡ'ውን ንዝበለጸ ኣፈጻጽማ algorithms ኣነጻጽር/ኣነጻጽሪ።
  • ሞዴላት ገምግም/ገምግሚ: ናይ ሞዴል ልክዕነት ንምግምጋምን ንምምሕያሽን መለክዒታት ተጠቐም/ተጠቐሚ።
  • ምርዳእ ኣማዕብል/ኣማዕብሊ: ተግባራዊ ዝኾነ ናይ ስራሕ ንግዲ ምክሪ ንምሃብ ውጽኢት ተንትን/ተንትኒ።
  • Feature ምህንድስና: ትንቢታዊ ሓይሊ ንምዕባይ ሓደስቲ ናይ data ባህርያት ፍጠር/ፍጠሪ።

Suggested summary

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.
Workload: between 4 and 360 hours

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