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AI And Machine Learning Course
I-angat ang iyong career sa Business Intelligence sa aming AI and Machine Learning Course. Magpakadalubhasa sa data preparation, kabilang ang formatting, pag-handle ng missing values, at outlier treatment. Sumisid sa predictive algorithms tulad ng linear regression, decision trees, at advanced methods gaya ng random forests. I-optimize ang mga models gamit ang ensemble methods at hyperparameter tuning. Matuto ng cross-validation, data splitting, at performance metrics. Pagbutihin ang iyong skills sa pag-interpret ng results at effective report writing. Sumali na para sa concise, high-quality learning na ginawa para sa BI professionals.
- Magpakadalubhasa sa data cleaning: Harapin ang missing values at outliers nang may precision.
- Mag-implement ng ML algorithms: I-apply ang linear regression at decision trees nang epektibo.
- I-optimize ang mga models: Pagandahin ang performance gamit ang hyperparameter tuning at ensemble methods.
- I-evaluate ang model accuracy: Gumamit ng cross-validation at performance metrics tulad ng MAE at RMSE.
- Mag-report ng insights: Gumawa ng compelling reports at mag-analyze ng model predictions nang may kumpiyansa.
flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
I-angat ang iyong career sa Business Intelligence sa aming AI and Machine Learning Course. Magpakadalubhasa sa data preparation, kabilang ang formatting, pag-handle ng missing values, at outlier treatment. Sumisid sa predictive algorithms tulad ng linear regression, decision trees, at advanced methods gaya ng random forests. I-optimize ang mga models gamit ang ensemble methods at hyperparameter tuning. Matuto ng cross-validation, data splitting, at performance metrics. Pagbutihin ang iyong skills sa pag-interpret ng results at effective report writing. Sumali na para sa concise, high-quality learning na ginawa para sa BI professionals.
Elevify advantages
Develop skills
- Magpakadalubhasa sa data cleaning: Harapin ang missing values at outliers nang may precision.
- Mag-implement ng ML algorithms: I-apply ang linear regression at decision trees nang epektibo.
- I-optimize ang mga models: Pagandahin ang performance gamit ang hyperparameter tuning at ensemble methods.
- I-evaluate ang model accuracy: Gumamit ng cross-validation at performance metrics tulad ng MAE at RMSE.
- Mag-report ng insights: Gumawa ng compelling reports at mag-analyze ng model predictions nang may kumpiyansa.
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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