Introduction to Machine Learning For Data Science Course
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.
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
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.
Suggested summary
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters similar to the examples below
This is a free course aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.