Lec-6.6 Linear Regression using Scikit-Learn (Arif Butt @ Data Science)
1:38 Learning Agenda
3:32 Data Acquisition
6:40 Data Preprocessing and Feature Engineering
14:55 Choosing ML Model
21:14 Train Test Split
30:48 Create Instance of ML Model
34:14 Train the ML Model
39:32 Evaluate the ML Model
54:16 Anscombe's Quartet
1:00:12 Improve via Hyper-parameter Tuning
1:01:10 Model Deployment and Monitoring
email: [email protected], [email protected], [email protected]
Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...