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Machine Learning Course

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

What will I learn?

ብዛዕባ ቴክኖሎጂ ፍልጠት ንዘለኩም ሰባት ዝተዳለወ: ሓይሊ ማሽን መሃሪ (Machine Learning) ብምሉኡ ክትፈልጡ ሓግዘኩም። ዳታ ብኸመይ ከም እትእክቡን ብ Pandas ከምኡ’ውን NumPy ብኸመይ ከም ትትንትኑን: ስልትታት መከፋፈሊ ዳታ ሰትን ሞዴላት ብትኽክል ከመይ ከም እትገምግሙ ይምሃሩ። ኣገደስቲ ናይ ቅድመ-መስርሒ ቴክኒኮችን ተምሃሩ: ዝተፈላለዩ ምምራጽ ሞዴል ዳህስሱ: ከም Decision Trees ከምኡ’ውን Random Forests ዝኣመሰሉ ናይ ሪግረሽን ሞዴላት ብዝርዝር ተረድኡ። ንናይ ሓቂ ጸገማት ንምፍታሕ ድልዋት ምእንቲ ክትኮኑ: ብግብራዊን ጥዑምን ትምህርቲ ክእለትኩም ኣመሓይሹ። ሕጂ ተጸንበሩን ንስራሕኩም ለውጥዎ!

Elevify advantages

Develop skills

  • ምቁጽጻር ዳታ ብዕምቆት: ዳታ ብ Pandasን NumPyን ጽዓኑ: መርምሩ: ከምኡ’ውን ምረጹ።
  • መከፋፈሊ ዳታ ሰት ምትግባር: መስቀላዊ ምርመራን ስትራቲፋይድ ሳምፕሊንግ ቴክኒክስ ተጠቀሙ።
  • ኣፈጻጽማ ሞዴል ምግምጋም: MAE, MSE, ከምኡ’ውን R-squared መለክዒታት ተረድኡ።
  • ዳታ ብትኽክል ቅድሚ ምProcess ምግባር: ዘየለ ዳታ ተቆጻጸሩ: ከምኡ’ውን ካተጎሪካል ተለዋወጥቲ Encode ግበሩ።
  • ሞዴላት ምምሕያሽ: ሃይፐርፓራሜተርስ ኣስተኻኽሉን ናይ ኤንሰምብል ሜተድስ ተጠቐሙ።

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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Very great course. Lots of rich information.
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