Net Course
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.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
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
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like 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 offers practical and relevant knowledge for your professional journey.