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Data Science Machine Learning Course

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What will I learn?

Unlock the power of data with our Data Science Machine Learning Course (ሓይሊ ዳታ ብትምህርቲ ሳይንስ ዳታ ማሽን መምሃርና ይኽፈት), tailored for Business Intelligence professionals (ንሞያተኛታት Business Intelligence ዝተዳለወ). Dive into feature engineering (ናብ ምህንድስና መለለዪታት ጠሊቑ), mastering time-based and domain-specific strategies (ስትራተጂታት ግዜን ዶማይን ንምቁጽጻር). Enhance your skills with data preprocessing (ክእለትካ ብቅድመ-መስርሕ ዳታ ኣመሓይሽ), handling missing values (ክሳራታት ንምቁጽጻር), and encoding categorical variables (ተለዋወቲ ምድባት encoding ምግባር). Explore machine learning algorithms like Decision Trees and Gradient Boosting (ከም Decision Treesን Gradient Boostingን ዝኣመሰሉ ኣልጎሪዝም ማሽን መምሃር ዳህስስ). Learn model training (ስልጠና ሞዴል ተምሃር), evaluation (ግምገማ), and deployment (ምዝርጋሕ), integrating them seamlessly into business processes (እንከላይ ብዘይምግታእ ኣብ መስርሕታት ቢዝነስ ምውህሃድ). Elevate your BI expertise with practical, high-quality insights (ናይ BI ክእለትካ ብተግባራዊን ጥዑይን ምርኣይ ልዕል በል።)

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Develop skills

Enhance your practical skills outlined below

Master feature engineering: Create impactful, domain-specific features. (ምህንድስና መለለዪታት ምቁጽጻር: መሳጢን ዶማይን ዝምልከትን መለለዪታት ፍጠር።)

Deploy models seamlessly: Integrate into business processes efficiently. (ሞዴላት ብዘይምግታእ ዘርግሕ: ብውጽኢታዊነት ኣብ መስርሕታት ቢዝነስ ኣዋህህድ።)

Evaluate models precisely: Use RMSE, MAE, and cross-validation techniques. (ሞዴላት ብልክዕ ገምግም: RMSE, MAEን ቴክኒኮታት cross-validation ተጠቐም።)

Preprocess data effectively: Clean, encode, and handle missing values. (ዳታ ብውጽኢታዊነት ቅድመ-መስርሕ ግበር: ኣጽሪ, encode ግበር, ከምኡውን ክሳራታት ተቘጻጸር።)

Optimize algorithms: Tune hyperparameters and compare model performance. (ኣልጎሪዝምታት ኣመሓይሽ: hyperparameters ኣስተኻኽልን ኣፈጻጽማ ሞዴል ኣነጻጽር።)

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

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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.