How can a complete beginner in machine learning learn Scikit-Learn?

Projects and Projects Ideas Forum
1

I have no prior experience with machine learning, but I need to finish this project using Scikit-Learn by the end of the semester. I studied artificial intelligence last semester, namely reasoning, and I have little knowledge of machine learning.

How do I begin? Although it doesn’t employ Scikit-Learn, I’ve heard that Andrew Ng’s Coursera course is excellent for learning machine learning. Should I start with the fundamentals and work my way up to Scikit? Or perhaps you could try a course like the one on Udemy that uses Scikit right away?

2

“Hands-on Machine Learning with Scikit-Learn and TensorFlow” is an excellent resource for those starting out in machine learning. The book provides a practical approach to learning by guiding readers through project-based instruction, utilizing tools like scikit-learn and TensorFlow to solidify the concepts.

3
  1. Get the data ready.
  2. Choose the model and hyperparameters.
  3. Fit the model to the data and use it to make a prediction.
  4. Evaluate the model.
  5. Experiment to improve.
  6. Save a model for someone else to use.
4

To start learning Scikit-Learn as a beginner in machine learning, explore its features through practical examples and its well-documented resources. It offers diverse algorithms and community support, making it ideal for both newcomers and seasoned professionals tackling various machine-learning challenges.