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Python For Machine Learning Course

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

What will I learn?

ብስልጣነ ቋንቋ ፕሮግራሚንግ ፓይዘን (Python) ንትምህርቲ መሃንዲስያን ማሽን (Machine Learning) ተጠቐሙ፣ ነዚ ዝተዳለወ ኮርስ ንባዓል ሞያታት ቴክኖሎጂ። ከም ራንደም ፎረስትስ (Random Forests) ከምኡውን ደሲሽን ትሪስ (Decision Trees) ዝኣመሰሉ ኣልጎሪዝምስ (algorithms) ምርግጋጽ ተመሃሩ፣ ከም ሩት ሚን ስኩዌር ኤረር (RMSE) ከምኡውን ሚን ኣብሶሉት ኤረር (MAE) ዝኣመሰሉ መለክዒታት ምግምጋም ሞዴል (model evaluation metrics) ኣካይዱ፣ ከምኡውን ከም ምዕባይ ፍልልያት (feature scaling) ከምኡውን ምውሳኽ ኮድ (encoding) ዝኣመሰሉ ኣገባባት ቅድመ-መስርሒ (data preprocessing techniques) ዳታ (data) ዳህስሱ። ክእለትኩም ብኣገባባት ምምራጽ ፍልልያት (feature selection methods)፣ ሰነዳት ፕሮጀክት (project documentation)፣ ከምኡውን ላይብረሪስ (Python libraries) ፓይዘን ከም ናምፓይ (NumPy) ከምኡውን ፓንዳስ (Pandas) ኣመሓይሹ። ሞዴል ብኣገባብ ምምዕርራይ ሃይፐርፓራሜተር (hyperparameter tuning) ከምኡውን ኣገባባት ምትእኽኻብ ኣመሓይሹ። ሕጂ ተጸንበሩ፣ ብትምህርቲ መሃንዲስያን ማሽን ዘለኩም ክእለት ንምዕባይ።

Elevify advantages

Develop skills

  • ምርግጋጽ ምምሃር: ራንደም ፎረስትስ (Random Forests)፣ ደሲሽን ትሪስ (Decision Trees)፣ ከምኡውን መስመራዊ ምርግጋጽ (Linear Regression) ተግባራዊ ግበሩ።
  • ሞዴል ምግምጋም: ኣርኤምኤስኢ (RMSE)፣ ኤምኤኢ (MAE)፣ ከምኡውን መስገራዊ ምጽዳቕ ንመለክዒታት ኣፈጻጽማ ተጠቐሙ።
  • ዳታ ቅድመ-መስርሒ: ፍልልያት ምዕባይ፣ ዘይተማልአ ዳታ ምሓዝ፣ ከምኡውን ተኸታታሊ ተለዋዋጢታት ምውሳኽ ኮድ (encode)።
  • ሞዴል ምምዕርራይ: ሃይፐርፓራሜተር ምምዕርራይ (hyperparameter tuning)፣ ኣገባባት ምትእኽኻብ፣ ከምኡውን ስትራተጅታት ድሌት ተግባራዊ ግበሩ።
  • ዳታ ምትንታን: ንምርኣይ ዳታ፣ ኖምፓይ (NumPy)፣ ፓንዳስ (Pandas)፣ ማትፕሎትሊብ (Matplotlib)፣ ከምኡውን ሲቦርን (Seaborn) 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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