NLP End to End Project [Video]

Welcome to our comprehensive NLP (Natural Language Processing) End to End Project Full Course, brought to you by iNeuron! In this course, we delve deep into the world of NLP, guiding you through every step of building an end-to-end NLP project.

Whether you’re a beginner or an experienced data scientist looking to enhance your NLP skills, this course is designed to cater to all levels of expertise. We start from the basics, covering fundamental concepts such as text preprocessing, tokenization, and feature extraction.

As we progress, you’ll learn advanced techniques including sentiment analysis, text classification, named entity recognition (NER), and topic modeling. Through hands-on exercises and real-world examples, you’ll gain practical experience in applying NLP algorithms to solve real-world problems.

Key Highlights:

Comprehensive coverage of NLP concepts from basics to advanced techniques
Hands-on tutorials with Python and popular NLP libraries such as NLTK, spaCy, and Gensim
Step-by-step guidance on building an end-to-end NLP project
Practical exercises and real-world examples to reinforce learning
Instructor-led explanations to ensure clarity and understanding
Access to downloadable resources, datasets, and code snippets
Whether you’re looking to advance your career in data science, machine learning, or AI, mastering NLP is essential in today’s digital landscape. Join us on this exciting journey to unlock the power of Natural Language Processing and take your skills to the next level!

Subscribe now and embark on your NLP learning journey with iNeuron!

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Timeline :

00:00:00 – 01:27:21 Introduction
01:27:21 – 02:36:27 Project Setup & Utility Modules
02:36:27 – 03:55:53 Project Notebook Experiment
03:55:53 – 04:57:08 Data Ingestion & Data Validation Component
04:57:08 – 06:02:16 Data Transformation & Model Trainer Component
06:02:16 – 07:02:34 Model Evaluation & Model Pusher Component
07:02:34 – 07:57:30 Prediction Pipeline & CICD