Natural Language Processing
563 learners
Introduction to Modeling Techniques for Text Classification
This course paves the way for your journey in NLP modeling. Delve deep into the world of text classification algorithms starting with Naive Bayes, Support Vector Machines, Decision Trees, and Random Forests. But that's not all! You'll also get familiar with stratified cross-validation, a key tool for handling imbalanced classes in text data.
Pandas
Python
Scikit-learn
6 lessons
30 practices
6 hours
Badge for Machine Learning Modeling for NLP,
Machine Learning Modeling for NLP
Course details
Preprocessing Text Data: Train-Test Split and Stratified Cross-Validation
Implement Stratified Cross-Validation in Train-Test Split
Analyzing Spam and Ham Distribution in Train-Test Split
Exploring the Spam Dataset
Stratified Train-Test Split for Text Data
Stratified Train-Test Split and Class Distribution Analysis
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