NLP – Natural Language Processing With Python By FCS On Aug 22, 2019
Welcome to the very best Pure Language Processing course on the web! This course is designed to be your full on-line useful resource for studying tips on how to use Pure Language Processing with the Python programming language.
Within the course we’ll cowl all the pieces you might want to be taught with a purpose to grow to be a world class practitioner of NLP with Python.
We’ll begin off with the fundamentals, studying tips on how to open and work with textual content and PDF recordsdata with Python, in addition to studying tips on how to use common expressions to seek for customized patterns inside textual content recordsdata.
Afterwards we’ll start with the fundamentals of Pure Language Processing, using the Pure Language Toolkit library for Python, in addition to the cutting-edge Spacy library for extremely quick tokenization, parsing, entity recognition, and lemmatization of textual content.
We’ll perceive basic NLP ideas akin to stemming, lemmatization, cease phrases, phrase matching, tokenization and extra!
Subsequent we’ll cowl Half-of-Speech tagging, the place your Python scripts will have the ability to mechanically assign phrases in textual content to their acceptable a part of speech, akin to nouns, verbs and adjectives, an important a part of constructing clever language techniques.
We’ll additionally study named entity recognition, permitting your code to mechanically perceive ideas like cash, time, firms, merchandise, and extra just by supplying the textual content data.
Via cutting-edge visualization libraries we shall be ready view these relationships in actual time.
Then we’ll transfer on to understanding machine studying with Scikit-Study to conduct textual content classification, akin to mechanically constructing machine studying techniques that may decide constructive versus unfavorable film evaluations, or spam versus reputable electronic mail messages.
We are going to broaden this data to extra complicated unsupervised studying strategies for pure language processing, akin to matter modelling, the place our machine studying fashions will detect subjects and main ideas from uncooked textual content recordsdata.
This course even covers superior subjects, akin to sentiment evaluation of textual content with the NLTK library, and creating semantic phrase vectors with the Word2Vec algorithm.
Included on this course is a whole part dedicated to cutting-edge superior subjects, akin to utilizing deep studying to construct out our personal chat bots!
Not solely do you get incredible technical content material with this course, however additionally, you will get entry to each our course associated Query and Reply boards, in addition to our stay scholar chat channel, so you’ll be able to crew up with different college students for tasks, or get assistance on the course content material from myself and the course instructing assistants.
All of this comes with a 30 day a refund garuantee, so you’ll be able to strive the course danger free.
What are you ready for? Change into an skilled in pure language processing right this moment!
I’ll see you contained in the course,
Who this course is for:
- Python builders thinking about studying tips on how to use Pure Language Processing.
Created by Jose Portilla
Final up to date 1/2019
Measurement: 4.47 GB