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UdemyMachine LearningPaid courseIntermediate levelCertificate

Learn Machine learning & AI [Beginner to advanced content] (Udemy.com)

Get well versed with Machine learning and AI by working on Hands-on Projects.

Created by: www.edyoda.com EdYoda

Last updated July 2024

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What you will learn

  • Machine Learning and its applications
  • Building End to End Machine Learning Projects
  • Deployment of Machine & Deep learning algorithms

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.1 out of 5higher than 20% of them
  • Reviews1,281#53 of 156 by number of reviews
  • Length1.9 hoursshorter than 87% of them
  • Last updatedJuly 2024more recently than 63% of them

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Course Description

Do you feel overwhelmed going through all the AI and Machine learning study materials?

These Machine learning and AI projects will get you started with the implementation of a few very interesting projects from scratch.

The first one, a Web application for Object Identification will teach you to deploy a simple machine learning application.

The second one, Dog Breed Prediction will help you building & optimizing a model for dog breed prediction among 120 breeds of dogs. This is built using Deep Learning libraries.

Lastly, Credit Card Fraud detection is one of the most commonly used applications in the Finance Industry. We talk about it from development to deployment. Each of these projects will help you to learn practically.


Who's teaching you in this course?

I am Professional Trainer and consultant for Languages C, C++, Python, Java, Scala, Big Data Technologies - PySpark, Spark using Scala Machine Learning & Deep Learning- sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and delivered at corporates like GE, SCIO Health Analytics, Impetus, IBM Bangalore & Hyderabad, Redbus, Schnider, JP Morgan - Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS - Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach towards ML.


Here are a few reasons for you to pursue a career in Machine Learning:

1) Machine learning is a skill of the future – Despite the exponential growth in Machine Learning, the field faces skill shortage. If you can meet the demands of large companies by gaining expertise in Machine Learning, you will have a secure career in a technology that is on the rise.
2) Work on real challenges – Businesses in this digital age face a lot of issues that Machine learning promises to solve. As a Machine Learning Engineer, you will work on real-life challenges and develop solutions that have a deep impact on how businesses and people thrive. Needless to say, a job that allows you to work and solve real-world struggles gives high satisfaction.
3) Learn and grow – Since Machine Learning is on the boom, by entering into the field early on, you can witness trends firsthand and keep on increasing your relevance in the marketplace, thus augmenting your value to your employer.
4) An exponential career graph – All said and done, Machine learning is still in its nascent stage. And as the technology matures and advances, you will have the experience and expertise to follow an upward career graph and approach your ideal employers.
5) Build a lucrative career– The average salary of a Machine Learning engineer is one of the top reasons why Machine Learning seems a lucrative career to a lot of us. Since the industry is on the rise, this figure can be expected to grow further as the years pass by.
6) Side-step into data science – Machine learning skills help you expand avenues in your career. Machine Learning skills can endow you with two hats- the other of a data scientist. Become a hot resource by gaining expertise in both fields simultaneously and embark on an exciting journey filled with challenges, opportunities, and knowledge.


Machine learning is happening right now. So, you want to have an early bird advantage of toying with solutions and technologies that support it. This way, when the time comes, you will find your skills in much higher demand and will be able to secure a career path that’s always on the rise.

Practical Learning !!

Project-based learning has proven to be one of the most effective ways to engage students and provide a practical application for what they’re learning and  it provides opportunities for students to collaborate or drive their learning, but it also teaches them skills such as problem-solving and helps to develop additional skills integral to their future, such as critical thinking and time management

By pursuing this course you will able to understand the concept of Machine learning at the next level you will also get to know about Artificial intelligence and that will boost your skill set to be a successful ML engineer.

Enroll now, see you in class!!


Happy learning!
Team Edyoda

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Instructor Details

www.edyoda.com EdYoda

EdYoda is re-imagining skill based education, educating on job-relevant real world skills.

Edyoda courses are on job-relevant technical skills. We have professional team of instructors, some of the courses we specialize in are Web development, Mobile App Development, Cloud & DevOps, Machine Learning, Artificial Intelligence and Big Data.

We believe that access to education and opportunities is the biggest enabler, and we are on a mission to enable the same for everyone across the world.

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Reviews

4.1

1,281 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Dieketseng S Letswela on 4/16/2026

From personal experience, the most satisfying part of Django is how quickly you can go from idea → working prototype.

By Nerine Holtzhausen on 3/21/2026

Not very beginner friendly. I feel like maybe the instructor underestimated his level of beginner and normal persons. I am not in the industry already and he might think that only industry is watching the lessons. But it's okay I am a pretty good student, and I can extrapolate most of what is needed without him babying me which might be his ultimate point. who knows...

By Emmanuel Opoku Apau on 1/30/2024

I'm loving it so far. I just realized I'll need a little bit of knowledge outside the course to get used to the commands. Thanks anyway.

By Nitish kumar on 4/13/2023

Uptill now it is up to the mark.. I felt difficulty in django fronted application where path for url's is not set properly as updated django has slightly change in skeleton of code... Apart from that it was amazing.

By Abdullah Al Mamun on 3/9/2023

This is a very essential course with the projects of machine learning and deep learning.

By Mike Buruchara on 2/19/2023

I have learn, a lot as a result of the instructor easy and simple and to the point explanation. I will recommend this course to my colleagues.

By Putluru Vaishnavi on 5/27/2021

Its good but need to explain basic introduction of tools which are going to use while real time project is doing. And please do mention about the preinstallations links before starting this course as to search for pip installed tools like tensor flow,keras... some people dont get those after searching to make them installed. I suggest to please include those links to install prerequisite installation tools to help students who dont have prior knowledge in these and inorder to save time as well

By Priyanka Avhad on 12/10/2020

It was great experience to learn about the "Object Identification" project. But , if you have told that how to install all requirements atleast in short then it would be great. Thank you!

By Manish Kumar Shah on 12/10/2020

Everything was OKAY, But The instructor should at least know that no matter what project we do, we should maintain a `requirements.txt` so that learners do not have problems while installing dependencies. I wasted my hours trying to figure out which version best suits without producing an error.

By Valentino Harpa on 11/9/2020

Unfortunately he is using an older version of Django, which is outdated. Even after changing some code, there are still some errors, thus there is not output to be seen.

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Overall Score : 82 / 100