Machine Learning Python Course
What will I learn?
በዛዕባ data ዘለካ ዓቕሚ ብMachine Learning Python ትምህርቲና ክፈት። እዚ መርሃ ግብሪ ንናይ Business Intelligence ሰብ ሞያ ዝተዳለወ እዩ። ናብ data ምርምርን ትንተናን ብምእታው፡ ቅድመ-መስርሒ ስልትታት ተምሃር፡ ከም linear regressionን decision treesን ዝኣመሰሉ ናይ machine learning algorithms ዓቕሚ ተጠቐም። feature engineering፡ model trainingን evaluationን ተምሃር፡ ከምኡውን modelsካ ብhyperparameter tuning ኣመሓይሽ። ናይ ክእለትካ ንናይ ሓቂ ዓለም ኣፕሊኬሽን ድሉው ምዃኑ ብምርግጋጽ፡ ብmodel ምዝርጋሕን ስነዳእን ዛዝም። ናይ BI ክእለትካ ንምዕባይ ሕጂ ተጸንበሩና!
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
ሞዴል ምዝርጋሕ ምፍላጥ: ንውህደት ዘየቋርጽ ሞዴልታት ኣቐምጥ፡ ጽዓን፡ ከምኡ’ውን ስነዳእ ጽም።
Feature engineering ምዕባይ: ናይ መራኸቢ ኣካላት ፍጠርን ዕለታዊ ምርምር ኣውጽእ።
Model training ምምሕያሽ: ናይ train-test መምርሒ ስቀምን ብመዐቀኒ ገምግም።
ዳታ ብውጽኢታዊ መንገዲ ምድህሳስ: ዳታ ቅርጽታት ምትንታንን ዳታ ስብስባት ብPandas ብምጥቃም ጽዓን።
ቅድመ-መስርሒ ክእለት ምምሕያሽ: ምዕራይን ምስፋርን ምጽራይን categorical data ብውጽኢታዊ መንገዲ።
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.