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Machine Learning for Natural Language Processing

Course Description

Welcome to Innovative Skills, your trusted partner in harnessing the potential of Natural Language Processing (NLP) through state-of-the-art Machine Learning solutions. Our mission is to empower your organization with innovative skills and technology that will revolutionize the way you interact with language data.

Topic-1 (How to do Automated Data Collection for NLP Project)

  • Locator Finding (Xpath. CSS. SELECTOR. ID. CLASS NAME....)
  • How to collect multiple data in single page
  • How to collect multiple page data
  • How to use regex in data collection
  • How to do brainstorm in a critical problems
  • How to handle cache issue
  • How to handle waiting Time
  • How to download file
  • How to handle google recaptcha (common pattern)
  • How to handle JS pagination to collect data
  • How to handle loader using scroll
  • How Does Scroll works mathematically
  • How to handle various click events
  • How to send data to a form
  • Comment Collection project
  • Lead generation Project from Google.
  • How to do freelancing in this sector

Topic-2 (Extraction, Transformation Loading Processing in NLP)

  • Extraction Techniques from various Sources
  • Transformation Techniques from Various Sources
  • SQL
  • Feature Engineering
  • Loading techniques into various destination
  • Build a projects

Topic-3

  • Text Preprocessing in Python

Topic-4

  • Text Vectorization with NumPy and Pandas

Topic-5

  • Sentiment Analysis with Python

Topic-6

  • Text Classification with Python

Topic-7

  • Machine and Deep Learning Models Development with Python

Topic-8

  • NLP Libraries in Python

Topic-9

  • Introduction to Recurrent Neural Networks (RNNs)

Topic-10

  • Building and training RNNs for NLP tasks

Topic-11

  • Understanding Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)

Topic-12

  • Building and training LSTM and GRU models for NLP tasks

Topic-13

  • Sequence Models for NLP - Transformers

Topic-14

  • Named Entity Recognition (NER) with Python for NLP Task

Topic-15

  • Building text generation models for NLP

Topic-16

  • Introduction to language models

Topic-17

  • Fine-tuning language models for specific NLP tasks

Topic-18

  • Sequence-to-Sequence Models for NLP

Topic-19

  • Building Chatbots and Conversational AI

Topic-20

  • Text Similarity and Clustering for NLP

Topic-21

  • Text Summarization for NLP

Topic-22

  • Solve a Research Problem using NLP - Milestone Project

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Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

Video Feedback

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Student - 5

Key Topics:

  • 1 Automated data collection
  • 2 ETL
  • 3 System Design
  • 4 Text Processing
  • 5 Different Types of ML Algorithm
  • 6 Different Types of DL Algorithm
  • 7 Different Types of Generative AI Algorithm

Price

6000

Discount Price

4020

Duration

5 Months

Available Seats

89

Class Type

Live

Access

Lifetime

Remaining

1 day
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