Machine Learning Python Course
What will I learn?
Bula maatla a data ka Thuto ya rona ya Go Ithuta ka Botlalo ka Diroboto le Python, e e diretsweng bomankge ba Botswerere jwa Kgwebo. Tsena mo dipatlisisong le tshekatsheko ya data, itse mekgwa ya go baakanya data pele, mme o dirise bokgoni jwa ditsela tsa go ithuta ka botlalo ka diroboto jaaka linear regression le ditlhare tsa ditshwetso. Ithute go dira diphetogo tsa dikarolo, go thapisa model, le tshekatsheko, mme o tokafatse di-model tsa gago ka hyperparameter tuning. Konela ka go tsenya model mo tirisong le go kwala ditokumente, o tlhomamisa gore bokgoni jwa gago bo siametse tiriso mo lefatsheng la mmatota. Ikopanye le rona jaanong go godisa botswerere jwa gago jwa BI!
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng go tsenya model mo tirisong: Boloka, laya, mme o kwale di-model gore di tsene mo tirisong ka bonako.
Tokafatso ya go dira diphetogo tsa dikarolo: Dira diphetogo tsa interaction mme o ntsha dintlha tsa botlhokwa tsa ditokololo tsa nako.
Tokafatso ya go thapisa di-model: Diragatsa go kgaoganngwa ga train-test le go sekaseka ka ditekanyetso.
Sekaseka data ka botlalo: Sekaseka dipopego tsa data le go laya di-dataset ka go dirisa Pandas.
Bontsha bokgoni jwa go baakanya data pele: Tlwaelanya, lekanya, mme o tsenye data e e tlhaotsweng ka bothata jo bonnye.
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’ll 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.