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  • Author: rukensai
  • Date: 18-11-2021, 14:02
18-11-2021, 14:02

Natural Language Processing Real World Use-cases in Python

Category: Tutorials / Programming

Natural Language Processing Real World Use-cases in Python

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.85 GB | Duration: 10h 11m

Learn how to use NLTK , scikit-Learn , sentiment analysis & many more to conduct to solve Real World Problems of NLP
What you'll learn
Hands on Real-World Projects on Various Domains of Natural Language Processing
Build Natural Language Processing & ML Models to solve a real world problem
Develop Natural Language Processing Models to predict Whether news is fake or real
How to perform Setiment analysis
Basic knowledge of programming is recommended. Otherwise the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science and directly apply these skills to solve real world challenging business problems.
Are you looking to land a top-paying job in Data Science/Natural Language Processing?
Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Natural Language Processing and Machine Lrarning?
Welcome to the course of Real world use-cases on Natural Language Processing ! This course is specifically designed to be ready for Job perspective in Natural Language Processing domain using Python programming language.
In the course we will cover everything you need to learn in order to solve Real World Challenges in NLP with Python.
We'll start off with the basics, learning how to open and work with text and csv files with Python, as well as we will learn how to clean & manipulate data & how to use regular expressions to search for custom patterns inside of text data...
Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as we will cover intuition behind tokenization, Stemming and lemmatization of text.
1.Project #1 @Predict Ratings of a Zomato Resaturant : Develop an AI/NLP model to predict Ratings of Zomato Restaurants..
2.Project #2 @Predict Whether News is Fake or Real: Predict whether news is fake or Real by building Pipeline..
3.Project #3 @Predict Winner of a Election : Perform Sentiment Analysis to Predict winner of a election..
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging ,wrangling and concatenating data , perform advance Exploratory Data Analysis & preparing and processing data for Statistics, Machine Learning , NLP & to come up with meaningful insights at the end..
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion
Not only do you get fantastic technical content with this course, but you will also get access to both our course related Question and Answer forums which is available for you 24*7
Guaranteed Satisfaction : All of this comes with a 30 day money back guarantee, so you can try the course risk free.
What are you waiting for? Become an expert in natural language processing today!
I will see you inside the course,
Who this course is for:
One who is curious about to do Carrier Transition into Data Science, Machine learning & Natural Language Processing,

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