NLP (Natural Language Processing) Bootcamp
UpSkill with Success Analytics
21 modules
English
Certificate of completion
Lifetime access
Master the art of processing and analyzing natural language data
Overview
This NLP (Natural Language Processing) Bootcamp course is designed to provide a comprehensive understanding of the core principles and techniques used in processing and analyzing natural language data. Through a combination of theory and hands-on projects, you will learn how to build applications that can understand and generate human language, enabling you to unlock the potential of text-based data in various domains.
Key Highlights
Learn the fundamentals of Natural Language Processing
Gain practical experience through hands-on projects
Develop skills in text pre-processing, feature extraction, and sentiment analysis
Understand the concepts of tokenization, word embeddings, and language models
Explore advanced topics like named entity recognition and text classification
What you will learn
Gain a Strong Foundation
Build a solid understanding of the fundamental concepts and techniques used in Natural Language Processing (NLP).
Hands-On Projects
Apply your knowledge to real-world projects, creating NLP applications that can understand and generate human language.
Text Processing Techniques
Learn how to preprocess and clean text data, extract relevant features, and perform sentiment analysis.
Advanced NLP Concepts
Dive deeper into advanced topics such as tokenization, word embeddings, language models, named entity recognition, and text classification.
Modules
Live Class Link
1 attachment
Live Class Link
Introduction Session
1 attachment • 1 hrs
Introduction Session - NLP (Natural Language Processing) Bootcamp Live
Introduction to Natural Language processing
11 attachments • 7 hrs
What is NLP and its applications
Basic terminology and concepts in NLP
Overview of NLP pipeline and key components
Cleaning and normalizing text data
Tokenization techniques (word-level, character-level, etc.)
Handling special characters, punctuation, and stop words
Resources
Introduction to NLP Class - Day 1
Introduction to NLP Live Class 27th Aug 2023 - Day 2
Data Cleaning - NLP ( 02 Aug 2023 )
Text Preprocessing - NLP ( 03rd Aug 2023 )
Text Representation
6 attachments • 4 hrs
Bag-of-Words (Bow) model
TF-IDF (Term Frequency-Inverse Document Frequency)
Word embeddings (Word2Vec, Glove)
Resources
Word Embedding
Hands-on Word Embed
NLP Libraries
4 attachments
Spacy
NLTK
Textblob
Stanford NLP
Intorduction to Deep Learning
12 attachments • 9 hrs
Neural Network
Forward propgation
Backward Propgation
Activation Function
Optimizers
Loss Function
Intro to Deep Learning
Introduction to Deep Learning Day 2 ( 30th Sep )
Backward Propagation and Activation Function ( 1st Oct 2023 )
Deep Learning - Optimizers
Deep Learning Loss Function
Resources
Tensorflow
2 attachments • 1 hrs
Hands-on TensorFlow
tensorflow
Pytorch
2 attachments • 1 hrs
Pytorch Tutorial
Pytorch_Tutorial
Word Embeddings
6 attachments • 2 hrs
TF-IDF
Word2Vec
LDA
Doc2vec
Advanced Word Embedding
Resources File
Recurrent neural network
3 attachments • 3 hrs
Recurrent Neural Network
RNN Implementation
Resources File
Long short-term memory (LSTM)
2 attachments • 1 hrs
LSTM & GRU Implementation
Resources File
Gated Recurrent Unit (GRU)
1 attachment
RNN_LSTM_GRU_Networks_pytorch_implementation
Attention based model
12 attachments • 6 hrs
Seq 2 seq.
Encoders and decoders.
Attention mechanism.
Attention neural networks
Self-attention
Introduction to Encode - Decoder
Encode - Decoder Day - 2
Encode - Decoder Implementation - Day 3
Encode - Decoder Implementation - Day 4
Self Attention
Resources
Transformer_From_Scratch
Transfer learning in NLP
27 attachments • 22 hrs
Introduction to transformers.
BERT Model
BART Model
Elmo Model
GPT Model
Albert model
Distilbert model
T5 Model
Roberta Model
Transformer Arch. Part 1
Transformer Arch. Part 2
Transformer Implementation from Scratch
BERT Model Day 1
BERT Model Day 2
BERT Implementation Multiclass Classification project
BERT NER Implementation
GPT Model
GPT -2 Model
Elmo Model
BART Model NLP
ALBERT & Distilbert Model
Roberta Model Discussion
T5 Model
Attention Is All You Need - Research Paper
illustrated-transformer - jalammar
BERT_project
GPT Research Paper
Industrial Projects
6 attachments
Problem Statement
Data Acquisition
Build data pipelines
Build a Complete NLP model
Fine Tune the NLP model
Deployment
End to End Projects
11 attachments • 4 hrs
Question Similarity Classification
Automatic Text Summarizer
Name Entity recognition
Token Classification
Sentiment Analysis
Text Summarizer Project
NAME ENTITY RECOGNITION
Sentiment Analysis
Resources File
Question_Similarity_Classification_Resources
Bert_Transformer_for_Sentiment_Analysis
Raise your demand - Open Discussion on upcoming project
1 attachment
Raise your demand - Open Discussion on upcoming project
LLM Chatbot
2 attachments • 1 hrs
Marketing-Campaign-Application using OpenAI
Marketing Campaign App
Resume and Interview preparation
2 attachments
Attention Seeking Resume Preparation and Interview Strategies
Strategies To Crack Tech Interviews
Job Searching
4 attachments
LinkedIn Profile Making
How To Expand Your Professional Network On LinkedIn
How To Use Various Job Portals
How To Approach For Referrals
Job Notifications
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
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Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
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UpSkill with Success Analytics
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