Net Course
Unlock the full potential of your tech career with the Net Course (Zambia), tailored for technology professionals keen to become experts in text classification and data analysis. Delve into model training, assessment, and improvement with practical exercises in cross-validation, feature selection, and hyperparameter tuning. Improve your expertise in data preprocessing, feature extraction, and machine learning models such as Naive Bayes and SVM. Gain understanding of ethical data collection and proper documentation, ensuring you're well-prepared for challenges in the real world.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the full potential of your tech career with the Net Course (Zambia), tailored for technology professionals keen to become experts in text classification and data analysis. Delve into model training, assessment, and improvement with practical exercises in cross-validation, feature selection, and hyperparameter tuning. Improve your expertise in data preprocessing, feature extraction, and machine learning models such as Naive Bayes and SVM. Gain understanding of ethical data collection and proper documentation, ensuring you're well-prepared for challenges in the real world.
Elevify advantages
Develop skills
- Become proficient in data preprocessing: Tokenize, normalise, and clean text data effectively.
- Improve models: Apply feature selection and hyperparameter tuning.
- Assess performance: Use accuracy, precision, recall, and F1-score metrics.
- Extract features: Use TF-IDF, Word2Vec, and Bag of Words techniques.
- Build classifiers: Develop Naive Bayes, SVM, and neural network models.
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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