Welcome to our Python for Machine Learning course, where you will learn the basics to advance concepts of Python and how to apply them to machine learning.

This course consists of 12 video lectures and a real-life project on anaemia detection, where you will get hands-on experience on how to use Python libraries such as Numpy, Pandas, Matplotlib, Scikit Learn, and Seaborn to solve real-world problems.

The course is designed to be beginner-friendly, making it accessible to anyone who is interested in learning about machine learning. Whether you’re an experienced programmer or just starting out, our course will help you develop the skills you need to become a proficient machine learning developer.

We believe that the best way to learn is by doing, so our course is designed with a strong focus on practical learning. You will have access to real-life datasets and tools to work on a project that detects anemia, a common health condition that affects millions of people worldwide. This project will help you apply the concepts you learn in the lectures and reinforce your understanding of Python for machine learning.

In this course, you will learn how to use Python libraries such as Numpy, Pandas, Matplotlib, Scikit Learn, and Seaborn to manipulate data, visualize data, and build machine learning models. Numpy is a powerful library for numerical computing, while Pandas is a library that helps you work with structured data. Matplotlib and Seaborn are visualization libraries that allow you to create charts and graphs to help you understand your data. Finally, Scikit Learn is a machine learning library that provides a wide range of algorithms and tools for building machine learning models.

By the end of this course, you will have a strong foundation in Python for machine learning, and you will be able to build your own machine learning models to solve real-world problems. This course is just one module of our full machine learning career track, which includes three other modules on Python for data science, deep learning, and advanced machine learning.

Our next three modules will be published soon, so stay tuned! In summary, our Python for Machine Learning course is designed to help you develop the skills you need to become a proficient machine learning developer. Whether you’re a beginner or an experienced programmer, our course will help you learn how to use Python libraries such as Numpy, Pandas, Matplotlib, Scikit Learn, and Seaborn to solve real-world problems. So, enroll today and start your journey towards becoming a machine learning expert!