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AI And Machine Learning Course

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

What will I learn?

ብናይ ኣይ (AI) ኣንድ ማሽን ለርኒንግ (Machine Learning) ኮርስ ሞያዊ ብልሕትነት ቢዝነስካ ኣዕብዮ። ዳታ ምድላው ተማሃር፣ እንተላይ ኣሰራርሓ ፎርማት ምትዕርራይ፣ ዘይምልኡ ኽፍልታት ምቁጽጻርን ካብ መስመር ዝወጹ ምእላይን። ትንቢታዊ ኣልጎሪዝም ከም መስመራዊ ሪግረሽን፣ ናይ ውሳኔ ኦም፣ ከምኡ’ውን ከም ራንደም ፎረስት ዝኣመሰሉ ዝለዓሉ ሜላታት ተማሃር። ሞዴላት ብሜላታት ጉጅለ (ensemble methods) ኣመሓይሽን ሃይፐርፓራሜተር ኣተኻኽልን። ከምኡ'ውን ክሮስ ቫሊዴሽን፣ ዳታ ምምቃልን ሜትሪክስ ኣፈጻጽማን ተማሃር። ውጽኢት ብግልጺ ብምርዳእን ጽሑፍ ሪፖርት ብውጽኢታውነትን ክእለትካ ኣመሓይሽ። ንሞያዊያን BI ዝተዳለወ ሓጺርን ጥራት ዘለዎን ትምህርቲ ሎሚ ጀምር።

Elevify advantages

Develop skills

  • ንጹር ዳታ ምጽራይ ተማሃር: ዘይምልኡ ኽፍልታት (missing values)ን ካብ መስመር ዝወጹን ብትኽክል ተቆጻጸር።
  • ኣልጎሪዝም ML ተግባራዊ ግበር: መስመራዊ ሪግረሽንን (linear regression) ናይ ውሳኔ ኦምን (decision trees) ብውጽኢታውነት ተግብር።
  • ሞዴላት ኣመሓይሽ: ብሃይፐርፓራሜተር ምትዕርራይን (hyperparameter tuning) ሜላታት ጉጅለን (ensemble methods) ኣፈጻጽማ ኣመሓይሽ።
  • ኣክራሪነት ሞዴል ገምግም: ክሮስ ቫሊዴሽንን (cross-validation) ከም MAEን RMSEን ዝኣመሰሉ ሜትሪክስ ኣፈጻጽማ ተጠቐም።
  • ኣስተውዓልካ ሪፖርት ግበር: ጽቡቕ ሪፖርት ጽሓፍን ትንቢታት ሞዴል ብትብዓት ተንትን።

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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