Natural Language Processing - Probability Models in Python

Currently reading:
 Natural Language Processing - Probability Models in Python

0dayhome

Member
Amateur
LV
4
Joined
Nov 21, 2024
Threads
2,006
Likes
25
Awards
9
Credits
9,417©
Cash
0$

bcfa92644c0b7a75ab1e3efece260055.jpg

Natural Language Processing - Probability Models in Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5H 11M | 1.04 GB
Genre: eLearning | Language: English​

Beginning with an introduction and course outline, students are offered a special offer to kickstart their learning journey in this course. Initial sections guide you through the setup process and provide the necessary code resources. The course emphasizes strategies for success, ensuring learners are well-prepared from the start.

The course delves into spam detection, beginning with a problem description and intuition behind Naive Bayes. Participants engage in exercises and learn to address class imbalance while evaluating models using ROC, AUC, and F1 scores. Practical implementation in Python solidifies understanding. Following this, the course transitions to sentiment analysis, covering problem description, logistic regression, and training. Exercises and Python-based projects enable learners to apply concepts effectively.

Text summarization is thoroughly explored with sections on vector-based methods and TextRank, from basic to advanced levels. Practical Python sessions ensure learners can implement these techniques. The course culminates with topic modeling, introducing LDA and NMF methods, complemented by Python coding exercises. A deep dive into Latent Semantic Analysis and applying SVD in NLP wraps up the curriculum, ensuring a well-rounded expertise in NLP.
What you will learn

Identify and implement spam detection algorithms
Conduct sentiment analysis using logistic regression
Perform text summarization using various methods
Apply advanced techniques like TextRank for summarization
Understand and implement topic modeling with LDA and NMF
Utilize Latent Semantic Analysis in Python projects

xBnwq4Rr_o.jpg


Fikper
Code:
https://fikper.com/AcbLCH02jw/Natural.Language.Processing.-.Probability.Models.in.Python.rar.html
FileAxa
Code:
https://fileaxa.com/f6gun35wvl43/Natural.Language.Processing.-.Probability.Models.in.Python.rar
RapidGator
Code:
https://rapidgator.net/file/7a293698ac01c718e64abf4634b4bed2/Natural.Language.Processing.-.Probability.Models.in.Python.rar
TurboBit
Code:
https://turbobit.net/ogd8pyrrsi1z/Natural.Language.Processing.-.Probability.Models.in.Python.rar.html
 

Create an account or login to comment

You must be a member in order to leave a comment

Create account

Create an account on our community. It's easy!

Log in

Already have an account? Log in here.

Top Bottom