What is the best learning path for machine learning in Python?

What is the best learning path for machine learning in Python?

A great learning path for machine learning in Python typically starts with mastering Python basics, then moves to data manipulation with libraries like Pandas and NumPy.

What libraries should I focus on after learning the basics?

After the basics, focus on libraries like Scikit-learn for machine learning, TensorFlow or PyTorch for deep learning, and Matplotlib or Seaborn for data visualization.

How long does it usually take to become proficient?

It varies, but with consistent practice, you can become proficient in about 6 to 12 months, depending on your prior experience.

Can you recommend some resources for learning?

Sure! Some great resources include "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" and online courses from platforms like Coursera and Udacity.