Machine learning & AI Hands on 3 Projects.
Machine learning & AI Hands on 3 Projects.
Machine learning & AI Hands on 3 Projects.Get will verse with Machine and AI by Working on hands-on projects. all the AI and Machine Learning study materials?Machine Learning Projects.
New
What you'll learn
- Machine Learning and its applications
- Building End to End Machine Learning Projects
- Deployment of Machine & Deep learning algorithms
Requirements
- Python
- scikit-learn
- Machine learning
- Deep Learning
- Flask
Description
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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 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.
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