What you would learn in Natural Language Processing Real World Use-cases in Python course?
Are you hoping to get an excellent job in the field of Data Science or Natural Language Processing?
Are you an experienced AI practitioner looking to advance your profession to the next stage?
Are you an interested data scientist who would like to master the art of natural Language Processing and Machine Learning?
Welcome to the real-life-like use-cases for Natural Language Processing! This course has been specifically created to prepare students for Job view in Natural Language Processing domain using Python programming language.
In this course, we'll teach you everything you need to master to tackle Real challenges in NLP using Python.
The course will begin with the basics, focusing on ways to read and manipulate the CSV and text files using Python, learning to clean and manage data, and using regular expressions to look for specific patterns within the text files...
In the next session, we will cover the fundamentals required for Natural Language Processing, utilizing the Natural Language Toolkit library for Python, and we will discuss the concepts of tokenization, Stemming, and Lemmatization of text.
1. Project #1: Predict Ratings of the Zomato Restaurant: Develop an AI/NLP model that can predict Zomato Restaurants.
2. Project #2: Predict whether the news is fake or real Predict whether the information is authentic by building a Pipeline.
3. Project #3: Predict the winner of an election Do Sentiment Analysis to determine who will win an election.
What are the reasons for taking this course?
It describes Projects that are based on Real Data and real-world issues. There is no toy data! This is the easiest and the most efficient way to become an AI Engineer/Data Scientist Engineer or Engineer with ML Engineer.
It demonstrates and explains the complete real-world Data. Beginning with the import of messy data and cleaning it by merging, wrangling, and concatenating the data advanced Exploratory Data Analysis & preparing and processing data to use in Statistics, Machine Learning, NLP and provide valuable insight in the close.
In real-world scenarios, coding and the business aspects are equally crucial. This is the most likely course that covers the two parts: deep Python Coding and Big-Picture Thinking, like how you can arrive at the correct conclusion
Practical projects in real-world settings covering a variety of Domains that involve Natural Language Processing
Create Natural Language Processing & ML Models to tackle the real-world problem
Create Natural Language Processing Models to identify fake news or genuine
How to conduct Sentiment analysis?
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