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Introduction to Machine Learning For Data Science Course
Open the potential of data na ifwe bonse kwi 'Introduction to Machine Learning for Data Science' course, eyo tulesambilisha Business Intelligence professionals. Ingilileni mu mitwe ya maka, nga data iyili clean, ukusanga ifintu ifyo tufwile ukubika sana, na ukusambilisha imilimo. Fundisheni algorithm isha maka nga Random Forests na Gradient Boosting ukulinganya ifyo bakashitisha. Fundisheni ukulinganya imilimo ukubomfya hyperparameter tuning na ukulinganya ukubomfya ifipimo nga MAE na RMSE. Kulisheni amano yenu aya BI ne fya kumwenamo ifyo twingabomba, ifyo fikabomba bwino mu businesi.
- Fundisheni ukusafya data: Mukwate ukuti fyonse fili bwino mu kufumyamo ifishili bwino na amabala.
- Kulisheni ukusanga ifintu ifyo mufwile ukubika sana: Bombeleni ifintu ifyo fikabomba bwino sana ku mulimo.
- Linganyeni imilimo: Lengeni ukulinganya na hyperparameter tuning na ukulinganya algorithm.
- Moneni ifyo twingabomba ku data: Bomfyeni ifipepala fya kumonako ifyo twingabomba.
- Linganyeni imilimo: Pimenyi ubwino na ifipimo nga MAE na RMSE.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open the potential of data na ifwe bonse kwi 'Introduction to Machine Learning for Data Science' course, eyo tulesambilisha Business Intelligence professionals. Ingilileni mu mitwe ya maka, nga data iyili clean, ukusanga ifintu ifyo tufwile ukubika sana, na ukusambilisha imilimo. Fundisheni algorithm isha maka nga Random Forests na Gradient Boosting ukulinganya ifyo bakashitisha. Fundisheni ukulinganya imilimo ukubomfya hyperparameter tuning na ukulinganya ukubomfya ifipimo nga MAE na RMSE. Kulisheni amano yenu aya BI ne fya kumwenamo ifyo twingabomba, ifyo fikabomba bwino mu businesi.
Elevify advantages
Develop skills
- Fundisheni ukusafya data: Mukwate ukuti fyonse fili bwino mu kufumyamo ifishili bwino na amabala.
- Kulisheni ukusanga ifintu ifyo mufwile ukubika sana: Bombeleni ifintu ifyo fikabomba bwino sana ku mulimo.
- Linganyeni imilimo: Lengeni ukulinganya na hyperparameter tuning na ukulinganya algorithm.
- Moneni ifyo twingabomba ku data: Bomfyeni ifipepala fya kumonako ifyo twingabomba.
- Linganyeni imilimo: Pimenyi ubwino na ifipimo nga MAE na RMSE.
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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.What our students say
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