Linear Classifiers in Python
|
In this course you will learn the details of linear classifiers like logistic regression and SVM.
In this course you’ll learn all about using linear classifiers, specifically logistic regression and support vector machines, with scikit-learn. Once you’ve learned how to apply these methods, you’ll dive into the ideas behind them and find out what really makes them tick. At the end of this course you’ll know how to train, test, and tune these linear classifiers in Python. You’ll also have a conceptual foundation for understanding many other machine learning algorithms.
User Reviews
Be the first to review “Linear Classifiers in Python”
Related Products
Learn R
Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.
LLMOps: Building Real-World Applications With Large Language Models
Learn to deploy and optimize applications utilizing large language models for natural language processing.
Intro to Language Models in Python
Build the basic language models in Python.
Intro to PyTorch and Neural Networks
Learn how to use PyTorch to build, train, and test artificial neural networks in this course.
Data Scientist Interview Preparation
Prepare for the data science interview process, from navigating job postings to passing the technical interview.
Build Deep Learning Models with TensorFlow
Use TensorFlow to build and tune deep learning models.
There are no reviews yet.