Step-by-Step Guide: Implementing Logistic Regression from Scratch in Python скачать в хорошем качестве

Step-by-Step Guide: Implementing Logistic Regression from Scratch in Python

Welcome to our tutorial on implementing the Logistic Regression algorithm from scratch. This video is designed for those new to Machine Learning, offering a clear and thorough explanation of one of its fundamental algorithms. Linear Regression is a cornerstone in understanding how machines make predictions based on data, and by building it from scratch, you'll gain a solid foundation in the mechanics of ML. We start with the basics, explaining the concepts in a manner that's accessible to beginners, before moving on to a step-by-step guide on coding the algorithm. This approach not only helps demystify the process behind Machine Learning but also empowers you with the knowledge to explore more complex models in the future. For anyone interested in practicing the code covered in this video, we've made it available on GitHub. You can find the complete codebase here: https://github.com/aditya-sekhar/Logi.... This video is for you if you're curious about how Machine Learning works and are looking for a comprehensive yet straightforward entry point into the field. Join us as we explore the fascinating world of ML together.