Join Kumaran Ponnambalam for an in-depth discussion in this video Course prerequisites, part of Text Analytics and Predictions with Python Essential Training.
- [Instructor] What are the prerequisites for this course? This course is about text analytics and predictions using Python. It focuses on analytics and machine learning techniques specific to text. This course has examples in Python using Jupyter notebooks. The examples use scikit-learn and NLTK libraries, so it's good to have some familiarity with those tools. The examples also preprocess text data before using them for analytics. Techniques used include stop word removal, lemmatization, n-grams, and TF-IDF. While the course focuses on using machine learning techniques like clustering and classification for text mining, it does not delve deep into these concepts. Rather, it focuses on using these techniques for text-specific data.
- Generating a word cloud
- Determining the sentiments of customers
- K-means clustering of text
- Predicting the classification of text documents
- Predictive text