MP4 | Video: 1280x720 | 46 kbps | 44 KHz | Duration: 2 Hours | 174 MB
Genre: eLearning | Language: English
Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python
This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.
This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.
If you are a programmer and you want to enhance your coding abilities by learning about data science, then this course is for you. If you have a technical or mathematical background, and you want to know how to apply your skills as a software engineer or "hacker", this course may be useful.
As a BONUS for taking this course, you can find even MORE logistic regression, deep learning, data science, and machine learning resources and articles at my personal website, LazyProgrammer.