Hands-on Machine Learning with Scikit-Learn

Where to Next?

Discover recommended next steps after gaining proficiency in Scikit-Learn. Learn about valuable AI resources including 'The Batch' newsletter and useful libraries such as Seaborn, Keras, TensorFlow, and PyTorch to deepen your machine learning and AI expertise.

We'll cover the following...

- Next steps
- Useful libraries

1.Preliminaries

2.Working with Datasets

3.Feature Engineering

4.General Concepts

5.Linear Regression

6.Logistic Regression

7.Support Vector Machine

8.Tree Model and Ensemble Method

9.Unsupervised Learning

10.Deep Learning

11.Others

12.What's Next

Where to Next?

Next steps