Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Course Covers Python, NLP and Deep Learning too | Build an NLP Web Application and host it using Streamlit
Welcome to the comprehensive program on Machine Learning. This program covers basic as well as intermediate concepts:
Basics of AI
Machine Learning
Deep Learning
Natural Language Processing
Build and Host an NLP application using streamlit
Python programming
Tailored Learning Experience: This course is structured to accommodate both beginners and advanced learners. You can choose to go through every module for a comprehensive understanding or jump directly to specific topics if you’re already familiar with the basics.
This is a 10 hour course and not a YouTube video: The course starts from absolute basics, gradually building tempo and eventually covering advanced concepts. Patience is needed to optimize the learning. Feel free to jump to specific topics
Building and Hosting ML Applications: Learn how to bring your models to life by building and deploying them as applications. This is a key expectation of the industry and we encourage you to learn this key skill. We’ll use Streamlit, a powerful yet user-friendly framework for ML application development.
Hands-On Approach: We want you to practice along with the trainer to maximize your learning. The necessary code files and dataset are provided as downloadable resources.
Testimonials:
Good experience while learning the course. ~ Kacham Mahesh
It was a knowledgeable series ~ Mohit Kumawat
yes,it is very good course .. thank you for teaching from the basic. ~ Achut Hublikar
i am actually gaining a lot. everything is sticking and i am understanding my course more than i even expected, thanls
Good starting point for beginner and provide exposure to the field of AI/ML. ~ Pritish Udgata
Course Content
- 10 section(s)
- 31 lecture(s)
- Section 1 Introduction
- Section 2 Core ML Algorithms
- Section 3 Natural Language Processing
- Section 4 Deep Learning in NLP Part 1
- Section 5 Deep Learning in NLP Part 2
- Section 6 Build and Host ML Applications on the web
- Section 7 Building & Deploying an NLP Wordcloud as a web application
- Section 8 Python Basics
- Section 9 Python Numpy & Pandas
- Section 10 Bonus Lecture
What You’ll Learn
- You will learn insights on Machine Learning and Artificial Intelligence concepts
- You will understand the Math behind the Artificial Intelligence solutions
- You will learn Time series and simple linear regression
- You will learn Multiple & Logistic regression
- You will learn decision tree & other advanced algorithms
- You will work on an AI project using the AI & ML concepts learnt using this course
- You will understand the theory behind Artificial Intelligence
- Learn where AI and Machine learning algorithms are used today
Skills covered in this course
Reviews
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NNandakishore P Nair
It was a great class. The instructor's explanation of the concepts was good, but it could have been a bit more detailed. There was a noticeable lack of practical work, excluding that from the lectures. But overall, it was a good course as I was able to strengthen some concepts, and it helped me learn about some new concepts as well.
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MMikhail SAITAS
Looks like a fraud!
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JJerry Wong
I come to learn Natural Language Processing but NLP is only a small part of the course. I do not know why we need to learn web application in this A.I. course. Lecturer told us about the "Ambiguity in NLP" but he does not provide with solution to this problem. Page after page of Powerpoint presentation is turning me right off.
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VVivekanand R
Could have explained more regarding tough topics as explained like simple topics.