If you want to become a machine learning expert, you have to start with learning Python first.
Here is a step by step guide on what you should do:
Here is a step by step guide on what you should do:
Step 1: Basic Python Skills
If you have no knowledge of programming or a related degree, my suggestion is to start with the following free online book(if you’re into books):
- Python The Hard Way, by Zed A. Shaw
If you are not a book reader, you can search for courses online.
Step 2: Foundational Machine Learning Skills
Ok, so don’t worry, you don't need to possess a PhD-level understanding of the theoretical aspects of machine learning in order to practice, in the same manner that not all programmers require a theoretical computer science education in order to be effective coders.
Here are some basic links for you to start:
Step 3: Scientific Python Packages Overview
Now my guess is that you already started doing some simple Python stuff, so you would know what I’m talking about when I say you’d need to install these packages:
- numpy - mainly useful for its N-dimensional array objects
- pandas - Python data analysis library, including structures such as dataframes
- matplotlib - 2D plotting library producing publication quality figures
- scikit-learn - the machine learning algorithms used for data analysis and data mining tasks
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