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5 Real-Time Use Cases using Machine Learning

5 Real-Time Use Cases using Machine Learning

In this class, people who want to learn more about machine learning and deep learning will work on five real-life projects.

What you’ll learn

5 Real-Time Use Cases using Machine Learning

  • With the most recent version of Python, 3.0, you can learn how to write code in Python.
  • Find out how to do both classification and regression modeling, so you can do both of them.
  • You can use Scikit-learn in your projects. It is a well-known library. Use it and find out how.
  • This is a look at real-world case studies and projects to learn how things work in the real world.
  • Look at big datasets and figure out how to use them with Pandas, which is a tool for that.
  • Tensorflow and Keras make it easy to make artificial neural networks. They make it simple to make them.
  • In this lesson, you will learn why Artificial Neural Networks work in the way that they do.
  • With the new Tensorflow 2.0, you can use Deep Learning, Transfer Learning, and Neural Networks to do these things.
  • Make Machine Learning models that are very good at what they do.
  • How to make your Machine Learning Models better, or, in other words, how to use Machine Learning algorithms


  • Python.
  • There are two types of Machine Learning and one type called “Deep Learning.”
  • People who want to learn something new.
  • It’s gone! All you have to do is start right now.


A Data Scientist or ML Engineer has a lot of steps to take before they can work with data and make it better.

The Python course you want to take will teach you how to analyze data, make beautiful visualizations, and use powerful machine learning algorithms to make your data even more useful.

In the job search site Indeed, the average salary for a data scientist in the US is more than $120,000. There are so many interesting things to do as a Data Scientist!

This class is for both people who have some programming experience and people who want to learn how to work with data, so both types of people can take it.

Because this course costs a lot of money, it is very complete. You can learn all that for a fraction of the price! To help you with five real-world projects, we’ll show you how. You can put those projects on your resume as well. You don’t need to know how to do anything in the videos. It doesn’t matter what we say, but you should know how things work together.

With Python, you can make a lot of great Machine Learning and Deep Learning projects. In our class, we will learn about many different things.

  1. Python is used to write code.
  2. There are tools in Python and NumPy Pandas Data Frames that can be used to solve difficult tasks.
  3. There are pandas that you can use to work with Excel Files.
  4. Use the ML models from Scikit-learn to do things like learn new things or improve your skills.
  5. To help you, use a lot of different NLP techniques to help you.
  6. It’s time to build a neural network.

When you’re learning how to build the projects, there are quizzes in the course that you can take. This will help you make sure that you understand what you’re learning about and that you don’t forget anything.

Besides that, this course comes with Python code templates that you can download and use in your own work. Make your own projects with them.

Who this course is for:

  • To learn more about machine learning and deep learning, anyone is welcome to come to the event!
  • You want to learn more about Deep Learning and Machine Learning in order to become more valuable.
  • There are two things you want to learn about: Machine Learning and Deep Learning. You want to use them in your projects.
  • As a teacher, I want to know how machines and deep learning really work.
  • There might be college students who want to work in Machine Learning or Deep Learning and want to learn more about it.

Free Online Course

5 Real-Time Use Cases using Machine Learning