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Python With Machine Learning Course
I-unlock ang power ng Python at machine learning sa aming comprehensive course na ginawa para sa mga technology professionals. Sumisid sa feature engineering, pag-master ng scaling, normalization, at pag-handle ng categorical variables. Pagandahin ang iyong skills sa model optimization techniques tulad ng random search at hyperparameter tuning. I-explore ang data sources mula sa UCI at Kaggle, at magkaroon ng proficiency sa algorithms tulad ng random forests at decision trees. I-elevate ang iyong expertise sa practical, high-quality training na dinisenyo para sa real-world application.
- I-master ang feature engineering: I-scale, i-normalize, at gumawa ng time-based features.
- I-optimize ang models: Pag-aralan ang hyperparameter tuning at grid search techniques.
- Mag-source ng data nang epektibo: Gamitin ang UCI at Kaggle para sa relevant datasets.
- I-implement ang algorithms: I-explore ang Random Forests, Decision Trees, at Linear Regression.
- I-evaluate ang models: Gamitin ang MAE, RMSE, at data splitting para sa performance analysis.
flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
I-unlock ang power ng Python at machine learning sa aming comprehensive course na ginawa para sa mga technology professionals. Sumisid sa feature engineering, pag-master ng scaling, normalization, at pag-handle ng categorical variables. Pagandahin ang iyong skills sa model optimization techniques tulad ng random search at hyperparameter tuning. I-explore ang data sources mula sa UCI at Kaggle, at magkaroon ng proficiency sa algorithms tulad ng random forests at decision trees. I-elevate ang iyong expertise sa practical, high-quality training na dinisenyo para sa real-world application.
Elevify advantages
Develop skills
- I-master ang feature engineering: I-scale, i-normalize, at gumawa ng time-based features.
- I-optimize ang models: Pag-aralan ang hyperparameter tuning at grid search techniques.
- Mag-source ng data nang epektibo: Gamitin ang UCI at Kaggle para sa relevant datasets.
- I-implement ang algorithms: I-explore ang Random Forests, Decision Trees, at Linear Regression.
- I-evaluate ang models: Gamitin ang MAE, RMSE, at data splitting para sa performance analysis.
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 workloadWhat our students say
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