Net Course
Unnu fi unlock di power fi unnu tech career wid di Net Course, weh design fi technology professional dem weh eager fi master text classification an' data analysis. Dive deep inna model training, evaluation, an' optimization wid nuff hands-on practice inna cross-validation, feature selection, an' hyperparameter tuning. Enhance unnu skills dem inna data preprocessing, feature extraction, an' machine learning model like Naive Bayes an' SVM. Gain insight pan ethical data collection an' effective documentation, mekking sure seh unnu equip fi real-world challenges.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unnu fi unlock di power fi unnu tech career wid di Net Course, weh design fi technology professional dem weh eager fi master text classification an' data analysis. Dive deep inna model training, evaluation, an' optimization wid nuff hands-on practice inna cross-validation, feature selection, an' hyperparameter tuning. Enhance unnu skills dem inna data preprocessing, feature extraction, an' machine learning model like Naive Bayes an' SVM. Gain insight pan ethical data collection an' effective documentation, mekking sure seh unnu equip fi real-world challenges.
Elevify advantages
Develop skills
- Master data preprocessing: Tokenize, normalize, an' clean text data properly.
- Optimize models: Implement feature selection an' hyperparameter tuning.
- Evaluate performance: Use accuracy, precision, recall, an' F1-score metrics.
- Extract features: Apply TF-IDF, Word2Vec, an' Bag of Words techniques.
- Build classifiers: Develop Naive Bayes, SVM, an' neural network models.
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 are saying
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