In this video, the concept of linear regression is explained in a clear and concise manner. The viewer is introduced to the basics of linear regression, including its definition, the types of problems it can solve, and its applications in real-world scenarios.
Furthermore, the video provides a step-by-step tutorial on how to implement the linear regression algorithm from scratch using Python programming language. The code is explained in detail, making it easy for viewers with little to no programming experience to follow along.
The presenter also covers important concepts such as the cost function, gradient descent, and the role of the learning rate in the algorithm.
Overall, this video is a great resource for anyone looking to learn about linear regression or wants to gain a deeper understanding of the algorithm. The clear explanations and practical examples make it easy to follow along and implement the algorithm in their own projects.
#artificialintelligence #machinelearning #regression #linearregression
The link for line fitting: [ Ссылка ]
The link for notebook: [ Ссылка ]
