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So much cool things you can do with numpy and machine learning on python, this article makes me determined to play with it. however, I don't know where to star
by curiously 12y ago
So much cool things you can do with numpy and machine learning on python, this article makes me determined to play with it.
however, I don't know where to start. I'm not particularly good at math, calculus or statistics. to me, machine learning and numpy still sounds like stuff scientists are qualified to use, people with phds. regardless I'm amazed at the stuff like this article and inclined to venture in to it.
- tucaz 12y agoShoot me an email if you find a starting point. Amazed as you are and in the same spot regarding lack of skills.
- mutagen 12y agoI just dived into some of Udacity's data science classes and it's very easy to get started with numpy. I'm just scratching the surface but it still feels amazingly powerful. Pandas is another great tool that goes hand in hand with data, its like Excel inside your Python REPL with SQL tools and more. Online class is one way to start, another would be picking a dataset and a goal for it and diving in. Kaggle.com has a number of content projects and a great deal of past data science stuff that's open sourced, I've been browsing it for ideas and approaches. Another source of inspiration might be local open data initiatives, your city, county, or state might have a pile of data available for interesting projects. I think half the battle, at least for me, is not deep statistics or other maths skills, it is just diving in and trying stuff.