Machine Learning Course With Python
What will I learn?
Bula maatla a machine learning ka Thuto ya rona e e feletseng ya Machine Learning ka Python, e diretsweng batho ba ba dirang ka theknoloji ba ba tlhagafaletsweng go tokafatsa bokgoni jwa bone. Inaakanye le go tlhopha le go diragatsa mefuta, o itshwaraganye le ditlhare tsa ditshwetso, dikgwa tsa ditshwantsho, le go sekaseka ka mokgwa o o tlhamaletseng. Nna le boitseanape mo go thapiseng, go sekaseka, le go tokafatsa mefuta o dirisa scikit-learn, fa o ntse o tlhaloganya metara e e botlhokwa ya diphoso jaaka MAE le RMSE. Sekaseka go tlhotlhomisa data, go e phepafatsa, le go e baakanya, go netefatsa mefuta e e nonofileng, e e maemong a a kwa godimo. Tsaya karolo jaanong go tsholetsa tiro ya gago ka thuto e e mosola, e e nang le tlhotlheletso e kgolo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng Ditlhare tsa Ditshwetso: Diragatsa le go tokafatsa ditlhare tsa ditshwetso tsa mefuta e e bolelelang pele.
Bokgoni jwa go Sekaseka ka Mokgwa o o Tlhamaletseng: Aga le go tokafatsa mefuta ya go sekaseka ka mokgwa o o tlhamaletseng o dirisa Python.
Boitseanape jwa go Phepafatsa Data: Phepafatsa le go baakanya di-dataset o dirisa Pandas go sekaseka.
Go Baakanya Di-hyperparameter: Tokafatsa tiragatso ya mefuta ka mekgwa e e tokafetseng ya go baakanya.
Go Beega ka Mokgwa o o Lolameng: Kwala le go beega ka ditsela tsa data science ka phepafalo.
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.