Net Course
Unlock ya potential fo' ya tech wrok wit di Net Course. Dis course na fo' tech people weh eeger fo' sabi bout text classification and data analysis. Dig deep intuh model training, evaluation, and mek dem fine wit ya own hand pan cross-validation, feature selection, and hyperparameter tuning. Mek ya skills strong pan data preprocessing, feature extraction, and machine learning models like Naive Bayes and SVM. Get beta understandin' bout how fo' collect data wit clean hand and how fo' write am down clear, so dat ya fit ready fo' anytin' weh go come pan ya way.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock ya potential fo' ya tech wrok wit di Net Course. Dis course na fo' tech people weh eeger fo' sabi bout text classification and data analysis. Dig deep intuh model training, evaluation, and mek dem fine wit ya own hand pan cross-validation, feature selection, and hyperparameter tuning. Mek ya skills strong pan data preprocessing, feature extraction, and machine learning models like Naive Bayes and SVM. Get beta understandin' bout how fo' collect data wit clean hand and how fo' write am down clear, so dat ya fit ready fo' anytin' weh go come pan ya way.
Elevify advantages
Develop skills
- Master data preprocessing: Cut text intuh bits, mek am normal, and clean di dirt outta di data nice and proper.
- Optimize models: Put feature selection and hyperparameter tuning deh pan top.
- Evaluate performance: Use accuracy, precision, recall, and F1-score metrics fo' measure how e good.
- Extract features: Use TF-IDF, Word2Vec, and Bag of Words ways fo' pull out di important parts.
- Build classifiers: Build Naive Bayes, SVM, and neural network models wit ya own hand.
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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