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Návrh Školení
Introduction
- The value of text-based data
Workflow for a Text-Based Data Science Problem
Choosing the Right Machine Learning Libraries
Overview of NLP Techniques
Preparing a Dataset
Visualizing the Data
Working with Text Data with scikit-learn
Building a Machine Learning Model
Splitting into Train and Test Sets
Applying Linear Regression and Non-Linear Regression
Applying NLP Techniques
Parsing Text Data Using Regular Expressions
Exploring Other Machine Language Approaches
Troubleshooting Text Encoding Issues
Closing Remarks
Požadavky
- Experience with Python
- An understanding of machine learning
- Experience with scikit-learn and pandas
21 hodiny