Re: [BangPypers] Resource for ML

I can vouch for Coursera's ML courses by University of Washington. It gives you a brief overview of the possibilities ML presents in the foundations course - predictive models using regression, document classification, recommender systems in the very first course - good for whetting your

Re: [BangPypers] Resource for ML

On Tue, Jun 6, 2017 at 8:59 PM, Ramkrishna P wrote: > Hello Team, > I have started out to work on pandas and numpy libraries to pick some > machine learning concepts. > I feel apart from working on datasets and getting some results, the > core concepts of machine

Re: [BangPypers] Resource for ML

Hello, while not having finished Andrew Ng's coursera course (yet), I started it and like it, too. I don't think it's an disadvantage that it's Matlab (or it's open source counterpart, Octave) - based (and I'm much more proficient in Python than in Matlab). Thanks to Abhinav and Harsh for the

Re: [BangPypers] Resource for ML

I collected some ML resources for inter hostel data analytic competition here https://github.com/Azad-Hall/data-analytics Other the Andrew ng's course, Caltech's "Learning from Data" ( http://work.caltech.edu/telecourse.html) course is really good for the theoretical foundations of ML> On 6 June

Re: [BangPypers] Resource for ML

Hey Ramkrishna, I have found the following book very useful. - https://github.com/jakevdp/PythonDataScienceHandbook Thank you, Bhargav On Tue, Jun 6, 2017 at 8:59 PM, Ramkrishna P wrote: > Hello Team, > I have started out to work on pandas and numpy libraries to pick

[BangPypers] Resource for ML

Hello Team, I have started out to work on pandas and numpy libraries to pick some machine learning concepts. I feel apart from working on datasets and getting some results, the core concepts of machine learning are still missing. If you guys could suggest some resources, it will be of great help.