AI ML Course
What will I learn?
Vhura simba re AI ne machine learning mu business intelligence ne AI/ML Course yedu yakadzama. Tanga nekunzwisisa nezvevatengi vanobva, ongorora kugadzirirwa kwedata, uye nyatsoziva ma classification algorithms akadai se logistic regression nema decision trees. Dzidza kuwana mazano anoshanda, gadzirisa mamodels, uye upe mazano anobva padata. Yakakwana kune nyanzvi dzinoda kuwedzera hunyanzvi hwadzo mukuunganidza data, kuongorora mamodels, nekufanotaura kubva kwevatengi, course iyi inopa kudzidza kunoshanda, kwemhando yepamusoro iwe pachako.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatsoziva kubva kwevatengi: Ongorora nekuderedza kukanganisa kwekubva kwevatengi pakubudirira kwebhizinesi.
Kugadzirira data: Bata kukosha kusipo uye kuyera maitiro ekuongorora kwakanyanya.
Predictive modeling: Shandisa logistic regression nema decision trees kufanotaura kubva kwevatengi.
Kuongorora mamodels: Ongorora kurongeka, kunyatsoita, kuyeuka, uye F1-score zvinobudirira.
Gadzirisa mamodels: Shandisa cross-validation uye hyperparameter tuning kuti uwane mhedzisiro iri nani.
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.