Net Course
Unlock the full scope of your tech career with Net Course (Naija Edition). E specially designed for Naija tech professionals wey dey eager to sabi text classification and data analysis well well. Enter inside model training, evaluation, and optimization with correct practical wey go make you sabi cross-validation, feature selection, and hyperparameter tuning like oga. Sharpen your skills for data preprocessing, feature extraction, and machine learning models like Naive Bayes and SVM. Get deep understanding of how to collect data ethically and document am well, so you go dey ready for any challenge wey dey ground.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the full scope of your tech career with Net Course (Naija Edition). E specially designed for Naija tech professionals wey dey eager to sabi text classification and data analysis well well. Enter inside model training, evaluation, and optimization with correct practical wey go make you sabi cross-validation, feature selection, and hyperparameter tuning like oga. Sharpen your skills for data preprocessing, feature extraction, and machine learning models like Naive Bayes and SVM. Get deep understanding of how to collect data ethically and document am well, so you go dey ready for any challenge wey dey ground.
Elevify advantages
Develop skills
- Master data preprocessing: Learn how to tokenize, normalize, and clean text data sharp sharp.
- Optimize models: Learn how to implement feature selection and hyperparameter tuning like a pro.
- Evaluate performance: Use accuracy, precision, recall, and F1-score metrics to check how your model dey perform.
- Extract features: Apply TF-IDF, Word2Vec, and Bag of Words techniques to get the correct features.
- Build classifiers: Develop Naive Bayes, SVM, and neural network models like sey you born dem.
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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