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Linear Regression Course

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What will I learn?

ንሞያዊያን ናይ ቢዝነስ ኢንተለጀንስ ዝተዳለወ ሰፊሕ ትምህርቲ ብምውሳድ መሰረታዊ ሓሳባት ቀጥታዊ መስመር ትንተና (Linear Regression) ተማሃሩ። ኣብ ዳታ ምስላ (data visualization) ብምጥላቕ፣ ዘይምትኽኻል ንምፍታሕ ዘኽእሉ ቴክኒኮች ዳህስሱ፣ ከምኡ'ውን ቀጥታዊ መስመር ትንተና (Linear Regression) ብ Python ከመይ ገርካ ከም እትትግብሮ ተምሃሩ። ሞዴላት ብ R-squared (ኣር ስኩዌርድ)ን ኮኤፊሸንት ትንተናን ገምግሙ፣ ብተወሳኺ ክእለት ጸብጻብ ናይ ምጽሓፍ ብምምዕባል መጽናዕታዊ ምርዳእታት ብግልጺ ኣቕርቡ። እዚ ትምህርቲ ንዘተግብሩዎ ሓሳባት ንምውጻእን ኣብ ዳታ ዝተመርኮሰ ምኽርታት ንምሃብን ብምኽኣል ናይ ትንተና ብቕዓትኩም የዕብዮ።

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Printable PDF summaries
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Select and arrange the chapters you want to study
Customize your course workload
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Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

ዳታ ምስላ (data visualization) ምምስራት: ትርጉም ዘለዎ ስካተር ፕሎትስ (scatter plots) ፍጠሩን ተንትኑን።

ዳታ ምድህሳስ ምክያድ: ዘይምትኽኻል ዝህሉ ዳታታት ምፍለጥ፣ ምእራምን ምምሕዳርን።

ሞዴላት ምግምጋም: R-squared (ኣር ስኩዌርድ) ምርዳእን ትንተናዊ ግምታት ምግምጋምን።

መጽናዕታዊ ጸብጻብ ምጽሓፍ: ንጹር፣ ሓጺር፣ንዑኡስ ኣርእስታት ዝሓዘ ዳታ ምርዳእታት ምቕራብ።

ቀጥታዊ መስመር ትንተና (Linear Regression)ምትግባር: Python ተጠቒምካ ውጽኢታት ምትንታንን ምትርጓምን።

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

Examples of chapters you can add

You will be able to generate more chapters like the examples below

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.