Python With Machine Learning Course
What will I learn?
ናይ Python ሓይልን ናይ machine learning ክእለትን ብዛዕባ ሞያዊያን ቴክኖሎጂ ዝተዳለወ ኮርስ ተማሃሩ። ናብ feature engineering ብምእታው፡ scaling, normalization, ከምኡውን categorical variables ከመይ ጌርካ ከም ትቆጻጸር ተምሃሩ። ከም random search ኒ hyperparameter tuning ዝኣመሰሉ ኣገባባት ብምጥቃም ሞዴል ምምሕያሽ ክእለትካ ኣዕብዮ። ካብ UCI ከምኡውን ካብ Kaggle ዝተረኽቡ ምንጭታት መረጃታት ዳህስሱ፣ ከም random forests ኒ decision trees ዝኣመሰሉ algorithms ክእለት ይማሃሩ። ንናይ ሓቂ ዓለም መተግበሪ ዝኸውን ግብራዊ ስልጠና ብምውሳድ ሞያዊ ክእለትካ ኣዕብዮ።
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
Feature engineering ምፍላጥ፡ Scale፣ normalize፣ ከምኡውን time-based features ፍጠር።
ሞዴላት ኣመሓይሽ፤ Hyperparameter tuning ኒ grid search ኣገባባት ተማሃር።
መረጃ ብግቡእ ምምራጽ፡ UCI ከምኡውን Kaggle ንዝምልከቱ datasets ተጠቀም።
Algorithms ተግባራዊ ግበር፡ Random Forests፣ Decision Trees፣ ኒ Linear Regression ዳህስስ።
ሞዴላት ገምግም፡ MAE፣ RMSE ኒ data splitting ንውጽኢታዊነት መርምር።
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.