Net Course
What will I learn?
Vhurai mikana yebasa renyu rehunyanzvi neNetwork Course, yakagadzirirwa nyanzvi dzetekinoroji dzinoda kugona kuronga magwaro nekunzwisisa data. Nyatsobhururuka mukudzidziswa kwemamodels, kuongororwa, nekunatsiridza nekuita maoko muchinjika-validation, kusarudzwa kwezvinhu, nekugadzirisa hyperparameter. Simbisai hunyanzvi hwenyu mukugadzirira data, kuburitsa zvinhu, uye mamodels ekudzidza emuchina akaita seNaive Bayes neSVM. Wanai nzwisiso mukuunganidzwa kwedata kwakanaka uye kunyora zvinyorwa zvinoshanda, muchiva nechokwadi chekuti makagadzirira matambudziko chaiwo enyika.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Gonesai kugadzirira data: Tokenize, gadzirisa, uye chenesa data remagwaro nemazvo.
Natirai mamodels: Shandisai kusarudzwa kwezvinhu nekugadzirisa hyperparameter.
Ongororai mashandiro: Shandisai metrics yakaita seaccuracy, precision, recall, uye F1-score.
Buritsai zvinhu: Shandisai maitiro eTF-IDF, Word2Vec, uye Bag of Words.
Vakiai classifiers: Gadzirai Naive Bayes, SVM, uye neural network models.
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.