In this video, you will learn about the basics of applying logistic regression and support vector machines (SVMs) to classification problems. You'll use the scikit-learn library to fit classification models to real data.
Datasets
https://drive.google.com/drive/folder...
Links
Python: https://www.python.org/downloads/ PyCharm: https://www.jetbrains.com/pycharm/dow... scikit-learn: https://pypi.org/project/scikit-learn/ pandas: https://pypi.org/project/pandas/ numpy: https://pypi.org/project/numpy/ matplotlib: https://pypi.org/project/matplotlib/
Chapters
0:00 Course Introduction
0:35 Chapter Introduction
03:03 Applying logistic regression and SVM
5:44 Linear Classifiers