Net Course
Open up serious opportunities in your tech career with the Net Course (Ghana Edition), specially made for tech folks keen to become experts in text sorting and data analysis. Dive deep into training models, checking how good they are, and making them even better, with plenty of hands-on practice using cross-validation, picking the right features, and fine-tuning settings. Sharpen your skills in getting data ready, pulling out important features, and using machine learning models like Naive Bayes and SVM. Get proper understanding of how to collect data ethically and how to document things properly, so you dey ready for real-world challenges wey go come your way.
flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Open up serious opportunities in your tech career with the Net Course (Ghana Edition), specially made for tech folks keen to become experts in text sorting and data analysis. Dive deep into training models, checking how good they are, and making them even better, with plenty of hands-on practice using cross-validation, picking the right features, and fine-tuning settings. Sharpen your skills in getting data ready, pulling out important features, and using machine learning models like Naive Bayes and SVM. Get proper understanding of how to collect data ethically and how to document things properly, so you dey ready for real-world challenges wey go come your way.
Elevify advantages
Develop skills
- Become a master in preparing data: Tokenize, normalize, and clean text data sharp sharp.
- Make models top-notch: Use feature selection and fine-tune the settings to make dem work well.
- Check how the models dey perform: Use accuracy, precision, recall, and F1-score to measure dem.
- Pull out important features: Use TF-IDF, Word2Vec, and Bag of Words methods.
- Build classifiers: Develop Naive Bayes, SVM, and 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 workloadWhat our students say
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