Net Course
Unlock the full potential of your tech career with Net Course: A Comprehensive Guide, specially designed for Indian technology professionals looking to master text classification and data analysis. Delve deep into model training, evaluation, and optimisation through practical, hands-on exercises involving cross-validation, feature selection, and hyperparameter tuning. Sharpen your skills in data preprocessing, feature extraction, and learn to implement machine learning models like Naive Bayes and SVM effectively. Gain valuable insights into ethical data collection practices and the importance of clear, concise documentation, equipping you with the know-how to tackle real-world challenges in the Indian context.
flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the full potential of your tech career with Net Course: A Comprehensive Guide, specially designed for Indian technology professionals looking to master text classification and data analysis. Delve deep into model training, evaluation, and optimisation through practical, hands-on exercises involving cross-validation, feature selection, and hyperparameter tuning. Sharpen your skills in data preprocessing, feature extraction, and learn to implement machine learning models like Naive Bayes and SVM effectively. Gain valuable insights into ethical data collection practices and the importance of clear, concise documentation, equipping you with the know-how to tackle real-world challenges in the Indian context.
Elevify advantages
Develop skills
- Become proficient in data preprocessing: Efficiently tokenize, normalise, and clean text data.
- Optimise models for peak performance: Implement effective feature selection and hyperparameter tuning techniques.
- Rigorously evaluate performance: Master the use of accuracy, precision, recall, and F1-score metrics for assessing model effectiveness.
- Expertly extract features: Apply TF-IDF, Word2Vec, and Bag of Words techniques with confidence.
- Develop robust classifiers: Build and deploy Naive Bayes, SVM, and neural network models for real-world applications.
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 workload.What our students say
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