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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.

Course Certificate

FAQs

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Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

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.

About the creator

About the creator

UpSkill with Success Analytics

At our EdTech company, we are dedicated to transforming the way people learn by providing innovative and effective education solutions. We understand the importance of education in the lives of individuals and the society as a whole, and that's why we are committed to leveraging technology to make learning more accessible, engaging, and impactful.

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