This course is designed to provide you with the foundational knowledge and skills you need to work with data and build machine learning models. Throughout the course, you will learn how to identify and handle different types of data, including good, bad, and missing data.
You will also learn about regression models and refinement techniques, including simple and multiple linear regression, polynomial regression, and normalization and standardization techniques. We will look at how to create test and training datasets and how to perform feature scaling to ensure that your models are accurate and reliable.
Throughout the course, we will use popular tools like NumPy, Pandas, and Matplotlib to explore and visualize data. By the end of the course, you will have a solid understanding of the foundational concepts and techniques of data science and machine learning, which will prepare you for further study and a career in this exciting field.
Course will start on 11th of July and will happen live every Tuesday 17.30 – 19.30 till 1st of August.