Machine Learning Course With Python
What will I learn?
Vhurai simba remashine learning ne Comprehensive Mashine Learning Course yedu ne Python, yakagadzirirwa nyanzvi dzetekinoroji dzinoda kuwedzera hunyanzvi hwadzo. Pindai zvakadzama mukusarudzwa kwemodeli nekuiswa muchishandiswa, muchinyatsoziva miti yekusarudza, masango asina kurongeka, uye linear regression. Wana hunyanzvi mukudzidziswa kwemodeli, kuongororwa, uye kugadziridzwa uchishandisa scikit-learn, uchinzwisisa metrikisi dzekukanganisa dzakakosha senge MAE ne RMSE. Ongorora kuongorora data, kuchenesa, uye kugadzira maficha, uchive nechokwadi chemamodeli akasimba, emhando yepamusoro. Joinha izvozvi kuti ukwidze basa rako nekudzidza kunoshanda, kwakanyanya.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatso Ziva Miti Yekusarudza: Isa muchishandiswa uye gadzirisa miti yekusarudza yemamodeli ekuvheneka.
Hunyanzvi hwe Linear Regression: Vaka uye unatsiridze linear regression models ne Python.
Hunyanzvi hwekuchenesa Data: Chenesa uye gadzirira maseti edata uchishandisa Pandas kuti aongororwe.
Hyperparameter Tuning: Wedzera mashandiro emodeli ne advanced tuning matekiniki.
Kuburitsa Mishumo Kunobudirira: Nyora uye uburitse mishumo yenzira dzesainzi yedata zvakajeka.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the 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 like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.