2023 Advanced Machine Learning and Deep Learning Projects


Text Embedding, Clustering, Classification | Image Clustering, Classification, Text to Image Search

What you will learn

Advanced NLP for Data Scientists

Advanced Image Processing

Text Data Processing

Text and Image Data Embeddings into the Same Vector Space

Implement Image Search like Google’s Image Search

Cluster Text and Image Data

Description

This advanced machine learning and deep learning course will cover the following topics:

  • SBERT and BERT: These are pre-trained models that are used for natural language processing tasks such as sentence classification, named entity recognition, and question answering.
  • Sentence Embedding and Similarity Measures: Techniques for representing sentences as numerical vectors, and methods for comparing the similarity between sentences.
  • Clustering: Algorithms for grouping similar data points together, such as k-means and hierarchical clustering.
  • Text Summarization: Techniques for automatically generating a concise summary of a longer text.
  • Question Answering: Techniques for automatically answering questions based on a given text.
  • Image Clustering: Algorithms for grouping similar images together.
  • Image Search: Techniques for searching for images based on their content.

Throughout the course, students will work on hands-on projects that will help them apply the concepts they have learned to real-world problems. They will also get an opportunity to implement the latest state of the art techniques in the field to solve various NLP and CV problems.

By the end of this course, your confidence will boost in creating and analyzing the Image and Text Processing ML model in Python. You’ll have a thorough understanding of how to use Text Data and Image Data modeling to create predictive models and solve real-world business problems.

How this course will help you?


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This course will give you a very solid foundation in machine learning. You will be able to use the concepts of this course in other machine learning models. If you are a business manager or an executive or a student who wants to learn and excel in machine learning, this is the perfect course for you.

What makes us qualified to teach you?

I am a Ph.D. in Machine Learning and taught tens of thousands of students over the years through my classes at IIT and KGP Talkie YouTube channel. Few of my courses are part of Udemy’s top 5000 courses collection and curated for Udemy Business. I promise you will not regret it.

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Content

Introduction

Download Code Files

Natural Language Processing Projects

SBERT Sentence Transformers Introduction
SBERT Research Paper Review
BERT Transformers Introduction
Siamese Network in SBERT
Project 1- Sentence Embeddings and Similarity Part 1
Project 1- Sentence Embeddings and Similarity Part 2
Project 2- Semantic Search Introduction
Project 2- Semantic Search Coding
Project 3- K-Mean Clustering on Text Data
Project 3- Agglomerative Clustering on Text Data
Project 3- Fast Clustering on Quora Questions Set
Project 4- Build Quora Questions Auto-Complete Suggester – Part 1
Project 4- Build Quora Questions Auto-Complete Suggester – Part 2
Project 5- Similar Research Paper Recommendation System Part 1
Project 5- Similar Research Paper Recommendation System Part 2
Project 5- Similar Research Paper Recommendation System Part 3
Project 6- Question Answer Retrieval System using NLP Part 1
Project 6- Question Answer Retrieval System using NLP Part 2
Project 6- Question Answer Retrieval System using NLP Part 3
Project 7- Extractive Text Summarization Part 1
Project 7- Extractive Text Summarization Part 2

Image Processing Projects

Project 1- Text to Image Search Introduction
Project 1- Text to Image Search Coding Part 1
Project 1- Text to Image Search Coding Part 2
Project 2- Image Search from Hindi, Spanish, and French Text Data Part 1
Project 2- Image Search from Hindi, Spanish, and French Text Data Part 2
Project 3- Unsupervised Image Clustering Part 1
Project 3- Unsupervised Image Clustering Part 2
Project 3- Unsupervised Image Clustering Part 3
Project 4- Finding Duplicated Images and Near Duplicates
Project 5- Zero-Shot Image Classification