Net Course
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.
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
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
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters similar to the examples below
This is a free course aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.