Get well verse with
Machine learning and AI by working on hands-on projects.
Rating of this Course :- 4.2//5
Instructor :- EdYoda Digital University
What you'll learn
·
Machine Learning and
its applications
·
Building End to End
Machine Learning Projects
·
Deployment of Machine
& Deep learning algorithms
Requirements
Basic Requirement
·
Python
·
scikit-learn
·
Machine learning
·
Deep Learning
·
Flask
Description
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Limited time offer !!
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coupon code: EDYODA10
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Do you feel overwhelmed going through all the AI and Machine learning study
materials?
These Machine learning and AI 3 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 deploying 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.
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 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.
And You know !!
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 skillset to be a successful
ML engineer.
Happy learning!
Who this course is for:
·
Python developers
looking for a future in machine learning and Artificial Intelligence (AI).
·
Machine learning
learners looking for live projects to learn from.
·
Python and Machine
learning developers looking for hands on projects to work on Artificial
Intelligence (AI).
Apply now :- Enroll now
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