Net Course
What will I learn?
Unlock the potential of your tech career with the Net Course, designed for technology professionals keen to master text classification and data analysis. Dive into model training, evaluation, and optimisation with hands-on practice in cross-validation, feature selection, and hyperparameter tuning. Enhance your skills in data pre-processing, feature extraction, and machine learning models like Naive Bayes and SVM. Gain insights into ethical data collection and effective documentation, ensuring you're equipped for real-world challenges.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data pre-processing: Tokenise, normalise, and clean text data efficiently.
Optimise models: Implement feature selection and hyperparameter tuning.
Evaluate performance: Use accuracy, precision, recall, and F1-score metrics.
Extract features: Apply 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 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.