For a hands-on learning experience to develop LLM applications, join our LLM Bootcamp today.
First 3 seats get a discount of 20%! So hurry up!
First 3 seats get a discount of 20%! So hurry up!
Whether we learn data science through online courses, tutorials, or jump straight into a hands-on project-based approach, few of us take out the time to try and learn how some of our favorite libraries are built. All we know is that we can import the scikit-learn library, instantiate a Linear Regression model, and call the “.fit()” method on it. What is happening under the hood? How are these different algorithms implemented in an efficient manner?
We’ll walk you through an advanced Python tutorial where we will be coding a Linear Regression algorithm from scratch and make it usable.
This webinar is not for the Python beginner, you are expected to know basic data science tools and frameworks, such as Pandas, Numpy, Scikit-Learn, etc. You are also expected to know, at least in theory, how Linear Regression works. This webinar will bridge that gap between theory and implementation and in the process teach you some advanced Python tips and tricks.
What you’ll learn
Data Scientist at Data Science Dojo
We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!
Notebook and files can be downloaded using the below links: