Net Course
Fungua uwezo kamili wa taaluma yako ya kiteknolojia na Net Course, iliyoundwa kwa wataalamu wa teknolojia walio tayari kujua uainishaji wa maandishi na uchambuzi wa data. Ingia ndani ya mafunzo ya modeli, tathmini, na uboreshaji na mazoezi ya moja kwa moja katika uthibitishaji mtambuka, uteuzi wa vipengele, na urekebishaji wa hyperparameter. Boresha ujuzi wako katika usindikaji wa awali wa data, uchimbaji wa vipengele, na modeli za kujifunza mashine kama vile Naive Bayes na SVM. Pata ufahamu kuhusu ukusanyaji wa data wa kimaadili na nyaraka bora, kuhakikisha kuwa umejiandaa kwa changamoto za ulimwengu halisi.
from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Fungua uwezo kamili wa taaluma yako ya kiteknolojia na Net Course, iliyoundwa kwa wataalamu wa teknolojia walio tayari kujua uainishaji wa maandishi na uchambuzi wa data. Ingia ndani ya mafunzo ya modeli, tathmini, na uboreshaji na mazoezi ya moja kwa moja katika uthibitishaji mtambuka, uteuzi wa vipengele, na urekebishaji wa hyperparameter. Boresha ujuzi wako katika usindikaji wa awali wa data, uchimbaji wa vipengele, na modeli za kujifunza mashine kama vile Naive Bayes na SVM. Pata ufahamu kuhusu ukusanyaji wa data wa kimaadili na nyaraka bora, kuhakikisha kuwa umejiandaa kwa changamoto za ulimwengu halisi.
Elevify advantages
Develop skills
- Jua kikamilifu usindikaji wa awali wa data: Gawanya, kawaida, na usafishe data ya maandishi kwa ufanisi.
- Boresha modeli: Tekeleza uteuzi wa vipengele na urekebishaji wa hyperparameter.
- Tathmini utendaji: Tumia usahihi, usahihi, ukumbusho, na vipimo vya alama za F1.
- Chimba vipengele: Tumia TF-IDF, Word2Vec, na mbinu za Bag of Words.
- Jenga viainishi: Tengeneza modeli za Naive Bayes, SVM, na mitandao ya neva.
Suggested summary
Before starting, you can change the chapters and 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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