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Natural Language Processing Python Course
Learn how to use Python for understandin' and workin' with language like human bein' does, specially for people who di' business intelligence work. You goin' learn how to fix data before you use it, how to clean text, break it down into small pieces, and how to handle common words we don't need. You goin' also learn how to find topics inside text using Latent Dirichlet Allocation, and how to feel the feelin' inside the text using TextBlob and NLTK. You goin' see how to use Seaborn and Matplotlib to show the data in picture way, and turn all that learnin' into advice you can use for business. Make your business intelligence skill strong with good, quality learnin'.
- Learn how to find the main topics inside text using Latent Dirichlet Allocation (LDA).
- Clean and fix text data so it ready to use for talk good about language.
- Use Pandas to look deep inside the data and understand it.
- Make fancy picture with Seaborn and Matplotlib to show the data.
- Use TextBlob and NLTK to know how people feel about the text.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Learn how to use Python for understandin' and workin' with language like human bein' does, specially for people who di' business intelligence work. You goin' learn how to fix data before you use it, how to clean text, break it down into small pieces, and how to handle common words we don't need. You goin' also learn how to find topics inside text using Latent Dirichlet Allocation, and how to feel the feelin' inside the text using TextBlob and NLTK. You goin' see how to use Seaborn and Matplotlib to show the data in picture way, and turn all that learnin' into advice you can use for business. Make your business intelligence skill strong with good, quality learnin'.
Elevify advantages
Develop skills
- Learn how to find the main topics inside text using Latent Dirichlet Allocation (LDA).
- Clean and fix text data so it ready to use for talk good about language.
- Use Pandas to look deep inside the data and understand it.
- Make fancy picture with Seaborn and Matplotlib to show the data.
- Use TextBlob and NLTK to know how people feel about the text.
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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