If you are an absolute beginner and just heard that python should be the language of choice for machine learning & data science then you are at the correct place. Python libraries for machine learning are very easy to learn and is useful for beginners who want to have first hand experience of creating their own machine learning model.
The ecosystem of python libraries for machine learning is only growing, all thanks to such an active open source python community. But if you are just beginning out, you should not feel overwhelmed with so many python libraries by trying to learn everything at once. Instead you should initially focus on the most essential libraries of python which are minimum required for doing practical machine learning and data science.
The below infographics list downs the most basic but essentials python libraries which you should learn to create your first machine learning model as a beginner.
- Also read – Introduction to Machine Learning – A simple explanation for beginners
- Also read – Machine Learning Examples – A motivation for beginner
Python Libraries for Machine Learning
In The End…
If you are not beginner you might be thinking where is Tensorflow or Pytorch for deep learning or Seaborn for visualization in the list. Well as I said earlier, although these libraries are very amazing but these are not essentially required for your first machine learning project.
As a matter of fact, you can create almost any powerful model with just these 5 libraries listed above. So build your basics rights with these libraries and then cross the ship to more advanced libraries to take yourself to the next level.
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