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“5 Real-Time Use Cases Using Machine Learning” is a practical course designed to help students understand how machine learning can be applied in real-world scenarios. The course covers five different use cases that demonstrate how machine learning can be used to solve a variety of problems.
These use cases include fraud detection, sentiment analysis, recommendation systems, image recognition, and natural language processing. In each case, students will learn about the specific problem being solved, the machine learning techniques used, and how to implement and evaluate the solution.
The course is designed to be hands-on, with students building their own machine learning models to solve each problem. By the end of the course, students will have a clear understanding of how machine learning can be applied in real-world situations and the skills and confidence to use machine learning to solve their own problems.
The course is suitable for anyone interested in machine learning and wants to see how it can be applied in different contexts.
5 Real-Time Use Cases using Machine Learning Course Description
Are you ready to start your path to becoming a Data Scientist or ML Engineer?
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! We will take you through 5 real-world projects and you can use those projects in your resume as well. The videos are designed in such a way that we will cover all the prerequisites and you just need to understand the flow.
We’ll teach you how to create awesome Machine Learning and Deep Learning Projects with Python! Here a just a few of the topics we will be learning:
- Programming with Python
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
- Use ML models from Scikit-learn
- Use different NLP techniques
- Make Neural Network Architecture
Moreover, the course is packed with quizzes that will help you check your knowledge while learning to build the projects.
And as a bonus, this course includes Python code templates which you can download and use as your own projects.
