Скачать с ютуб Python Data Science & AI | Machine Learning | Lecture 7 | Linear Regression - Medical Insurance в хорошем качестве

Python Data Science & AI | Machine Learning | Lecture 7 | Linear Regression - Medical Insurance

Python Data Science & AI | Machine Learning | Lecture 7 | Linear Regression - Medical Insurance | Part 1 In this engaging session of the IntelliMentor series on Python for Data Science and Artificial Intelligence, we embark on the first part of a comprehensive journey into building a sample model using a medical insurance dataset. This lecture focuses on understanding how to apply linear regression techniques to predict insurance costs based on various factors such as age, BMI, and other relevant variables. We will walk through the process of data exploration, feature selection, and the practical implementation of linear regression to create a predictive model. This hands-on approach will not only solidify your grasp of linear regression but also enhance your ability to apply these concepts to real-world data. Whether you're a beginner looking to understand the basics or an experienced professional aiming to sharpen your skills, this lecture is designed to offer valuable insights into the intricacies of model building in the context of medical insurance. Get in Touch! For more information, feel free to reach out to us via email at [email protected] or call us at +91 8390129212. We are more than happy to guide and transform your learning experience!