Master Natural Language Processing using case studies
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 199 lectures (31h 13m) | Size: 9.3 GB
Master Natural language Processing using Python from Beginner to super advance level using case studies
What you'll learn:
Master Natural Language Processing using Python
Master Machine Learning on Python
Regular Expression
Lexical processing
Bag of words
tf-idf
Spell corrector
Syntactic processing
Grammer for English sentence
Stochastic parcing
Viterbi algorithm
Hidden markov model
CFG/PCFG grammer
Semantic processing
wordNet
wordVector
word2Vec
Real World Case Studies
Requirements
Any Beginner Can Start this Course
2+2 knowledge is more than sufficient as we have covered almost everything from scratch.
Prior Knowledge of Machine Learning is beneficial , if not we have covered all required pre-requisites in the course itself.
Description
Wants to become a expert NLP engineer and data scientist? Then this is a right course for you.
This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.
We will walk you step-by-step into the World of NLP. With every tutorial you will develop new skills and improve your understanding towards the challenging yet lucrative sub-field of Data Science from beginner to advance level.
We have solved few real world projects as well during this course and have provided complete solutions so that students can easily implement what have been taught. Case studies are explained in detail with step by step instructions. Prior Knowledge of Machine Learning and deep learning is beneficial , if not we have covered all required pre-requisites in the course itself.
We have covered following topics in detail in this course:
1) Introduction to NLP and Regex
2) Introduction to Lexical Processing
3) Advanced Lexical Processing
4) Basic Syntactic Processing
5) Intermediate Syntactic Processing
6) Advanced Syntactic Processing
7) Probabilistic Approach
8) Syntactic Processing With Real World Project
9) Introduction to Semantic Processing
10) Advance Semantic Processing Part1
11) Advance Semantic Processing Part2
12) Prereqs : Python, Machine Learning , Deep Learning
Who this course is for
This course is meant for anyone who wants to become a Data Scientist
This course is meant for anyone who wants to become NLP engineer
Kod:
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