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Python For Machine Learning Course

Python For Machine Learning Course
flexible workload from 4 to 360h
certificate recognized by MEC

What will I learn?

Ggulawo amaanyi ga Python mu by'okuyiga by'ennyanguyirizi n'essomo lyaffe eryetengerevu eritegekeddwa abakugu mu tekinologiya. Yingira mu nkola za 'regression' nga 'Random Forests' ne 'Decision Trees', yiga okukozesa ebipimo eby'okulambika omutindo gw'ennyanguyirizi nga RMSE ne MAE, era weekenneenye enkola z'okutereeza data nga okukendeeza ebipimo bya 'feature' n'okubissa mu nkodyo. Yongera obukugu bwo n'engeri z'okulonda 'feature', ebiwandiiko bya pulojekiti, n'ebitabo bya Python nga NumPy ne Pandas. Tereeza ennyanguyirizi n'engeri z'okukyusa 'hyperparameter' n'engeri z'okukwataganya. Weegatte kati okwongera obukugu bwo mu by'okuyiga by'ennyanguyirizi.

Elevify advantages

Develop skills

  • Yiga obulungi 'regression': Kozesa 'Random Forests', 'Decision Trees', ne 'Linear Regression'.
  • Lambika ennyanguyirizi: Kozesa RMSE, MAE, n'engeri ya 'cross-validation' okubala omutindo.
  • Tereeza data: Kendeeza ebipimo bya 'feature', kola ku data ebulako, era obisse mu nkodyo.
  • Tereeza ennyanguyirizi: Kozesa engeri z'okukyusa 'hyperparameter', n'engeri z'okukwataganya, n'enkola z'okunoonya.
  • Weekenneenye data: Kozesa NumPy, Pandas, Matplotlib, ne Seaborn okufuna amagezi mu data.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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