Net Course
Unlock the potential of your tech career with the Net Course, specifically crafted for tech professionals keen to master text classification and data analysis. Delve deep into model training, evaluation, and optimisation with practical, hands-on exercises in cross-validation, feature selection, and hyperparameter tuning. Boost your capabilities in data preprocessing, feature extraction, and machine learning models, such as Naive Bayes and SVM. Also, gain insights into ethical data collection practices and effective documentation, ensuring you're well-prepared for real-world challenges you might face 'on the ground'.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the potential of your tech career with the Net Course, specifically crafted for tech professionals keen to master text classification and data analysis. Delve deep into model training, evaluation, and optimisation with practical, hands-on exercises in cross-validation, feature selection, and hyperparameter tuning. Boost your capabilities in data preprocessing, feature extraction, and machine learning models, such as Naive Bayes and SVM. Also, gain insights into ethical data collection practices and effective documentation, ensuring you're well-prepared for real-world challenges you might face 'on the ground'.
Elevify advantages
Develop skills
- Master data preprocessing: Tokenize, normalise, and clean text data efficiently – get that data 'spruced up' properly.
- Optimise models: Implement feature selection and hyperparameter tuning to get the best 'oomph' from your models.
- Evaluate performance: Use accuracy, precision, recall, and F1-score metrics to see how well your models are 'doing their job'.
- Extract features: Apply TF-IDF, Word2Vec, and Bag of Words techniques to 'tease out' the important information.
- Build classifiers: Develop Naive Bayes, SVM, and neural network models – become a 'top-notch' classifier builder.
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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