Net Course
Open up big opportunities for your tech work with the Net Course. This course is made for tech people who really want to get good at understanding and sorting text, and looking closely at data. You'll learn how to train models, check if they're working well, and make them even better, with plenty of practice doing things like cross-validation, choosing the best features, and fine-tuning settings. You'll get better at cleaning up data, picking out important features, and using machine learning models like Naive Bayes and SVM. You'll also learn about collecting data in a good way and writing clear instructions, so you're ready for anything in the real world.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up big opportunities for your tech work with the Net Course. This course is made for tech people who really want to get good at understanding and sorting text, and looking closely at data. You'll learn how to train models, check if they're working well, and make them even better, with plenty of practice doing things like cross-validation, choosing the best features, and fine-tuning settings. You'll get better at cleaning up data, picking out important features, and using machine learning models like Naive Bayes and SVM. You'll also learn about collecting data in a good way and writing clear instructions, so you're ready for anything in the real world.
Elevify advantages
Develop skills
- Become a master at cleaning data: You go fit tokenize, normalize and clean text data sharp sharp.
- Make models work their best: Put in place feature selection and hyperparameter tuning.
- Check how well things are working: Use accuracy, precision, recall, and F1-score to measure performance.
- Pick out important features: Apply TF-IDF, Word2Vec, and Bag of Words ways.
- Build classifiers: Develop Naive Bayes, SVM, and neural network models themself.
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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