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I have a bachelors degree in economics, so some university math with calculus and linear algebra. The reason I found it hard was because I had to learn Octave while also understanding the algorithms and general ml concepts.

That being said, I think it's a great course, and would highly recommend it to anyone who thinks they're up for it. But there are other courses that provides an easier gateway into ML.

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> The reason I found it hard was because I had to learn Octave while also understanding the algorithms and general ml concepts.

I had the same experience, even after using Matlab some in grad school. I wish I had seen this before trying Ng's course (all of the exercises in Python):

http://www.johnwittenauer.net/machine-learning-exercises-in-...

So much quicker / easier to follow, at least for me.

scipy is almost exactly the same than matlab/octave

You shouldn't need scipy for this. Perhaps you meant 'numpy'?

Like which one?

Udacity's Intro to Machine Learning

For another option, similar to the Udacity course, I recommend this: http://www.dataschool.io/machine-learning-with-scikit-learn/

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