Machine Learning Course
Manollela maatla a bomachine ya go ithuta ka thuto ya rona e e feletseng e e diretsweng bomankge ba thekenoloji. Inaakanye le kgobokanyo ya data le patlisiso o dirisa Pandas le NumPy, itse botlhokwa jwa mekgwa ya go kgaoganya di-dataset, mme o sekaseke mefuta ka boammaaruri. Ithute mekgwa ya botlhokwa ya go baakanya data pele, sekaseka kgethololo ya mefuta e e kwa godimo, mme o bone temogo mo mefuteng ya regression jaaka Ditlhare tsa Ditshwetso (Decision Trees) le Dikgwa tse di sa Rulaganngwang (Random Forests). Tokofatsa bokgoni jwa gago ka dikagare tsa maemo a a kwa godimo tse di tlhomamisang gore o ipaakanyeditse go lepalepana le dikgwetlho tsa mmatota. Ikopanye jaanong mme o fetole tiro ya gago!
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Manollela maatla a bomachine ya go ithuta ka thuto ya rona e e feletseng e e diretsweng bomankge ba thekenoloji. Inaakanye le kgobokanyo ya data le patlisiso o dirisa Pandas le NumPy, itse botlhokwa jwa mekgwa ya go kgaoganya di-dataset, mme o sekaseke mefuta ka boammaaruri. Ithute mekgwa ya botlhokwa ya go baakanya data pele, sekaseka kgethololo ya mefuta e e kwa godimo, mme o bone temogo mo mefuteng ya regression jaaka Ditlhare tsa Ditshwetso (Decision Trees) le Dikgwa tse di sa Rulaganngwang (Random Forests). Tokofatsa bokgoni jwa gago ka dikagare tsa maemo a a kwa godimo tse di tlhomamisang gore o ipaakanyeditse go lepalepana le dikgwetlho tsa mmatota. Ikopanye jaanong mme o fetole tiro ya gago!
Elevify advantages
Develop skills
- Ithute go tshwara data: Laya, tlhatlhoba, mme o tlhophe di-dataset ka Pandas le NumPy.
- Diragatsa kgaoganyo ya dataset: Dirisa cross-validation le mekgwa ya stratified sampling.
- Sekaseka maduo a model: Tlhaloganya meteriiki ya MAE, MSE, le R-squared.
- Baakanya data pele ka bokgabane: Samagana le boleng jo bo tlogetsweng le go kwala categorical variables.
- Tokofatsa di-model: Remelela di-hyperparameter mme o dirise mekgwa ya ensemble.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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