Python Machine learning with SKLearn Tutorial for Investing - Intro

Intro to a practical example of Machine Learning with the Python programming language and the Scikit-learn, or sklearn, module. We're covering an example with investing, where we use machine learning to discern fundamental characteristics of companies that perform well over a long term period. Windows (and 64 bit): Scikit-learn Installers: https://pypi.python.org/pypi/scikit-learn/0.15.2#downloads NumPy Installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy SciPy Installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy Others: Scikit-learn .whl files for pip install: https://pypi.python.org/pypi/scikit-learn/0.15.2#downloads NumPy - git clone http://github.com/numpy/numpy.git numpy SciPy - git clone http://github.com/numpy/numpy.git numpy Playlist: https://www.youtube.com/watch?v=URTZ2jKCgBc&list=PLQVvvaa0QuDd0flgGphKCej-9jp-QdzZ3&index=1 sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6

Comments

1. Haha!! Sentdex, I burst out laughing when you said..."probably the return would be to remove all the humans".
   Learning a lot from your videos. Thank you much.
2. guys I have been trying to solve this error for hours and I couldn't find a solution
   ImportError: cannot import name 'NUMPY_MKL'
   please help
3. I love the way he says "deep mind", watching this video now and what deep mind is now.
4. Actually we also can do regression. In fact, what we really do is regression, and classification is a particularly kind of regression, right?! Correct if I'm wrong.
5. What about reinforcement learning? That's another type of learning which is relatively recent in the field..
6. Hi, I watched this video and saw your greatest difficulty is getting raw data. I have a subscription to Bloomberg ($25,000 per year) and it provides data in exactly the way you need it and saves lots of time. I LOLed when you talked about using SEC.gov.
   Maybe we could collaborate on market analysis since I'm less experienced with machine learing? I can provide unlimited data in any form needed
7. Great man!! this is pretty cool
8. import sklearn
   Traceback (most recent call last):
   File "<pyshell#3>", line 1, in <module>
   import sklearn
   File "C:\Python34\lib\site-packages\sklearn\__init__.py", line 37, in <module>
   from . import __check_build
   ImportError: cannot import name '__check_build'
   
   how to solve this problem?
   thanks
9. does d extension no of package must match with python version?
10. Thanks a lot your are great and make it sound so easy..
    Although it took me a while to set up my virtual environment + sublimeText3 + python modules....I am ready to go.......ready? set? go? I am.....ready to learn....thank you sentdex.
11. For anyone having trouble downloading or installing python packages, just install Anaconda. It's a really handy re-distribution of python which included pretty much every single library and module you'll ever need for data science and analytics (and it auto-installs pip if you want to manually add additional packages later).
    
    https://www.continuum.io/downloads
12. wrr
13. Hi , I am new to Machine Learning and would like to know which playlist of sentdex I should follow ... There is one with 47 videos and the other one is 28 videos one which is using Scikit-learn
14. you are awesome.... very educational and informative....
15. Fellow Python lover here. Loved the energy and the fluidity of the speech in these videos. Really nice channel you have there! :)
16. Do you have a GitHub collecting your lectures and codes?
17. thank you for tutorial (but steven hawking was warning about general artificial intelligence not machine learning)
18. I just discovered this. Your videos are great!
19. Thanks for sharing sentdex.
20. Hey sentdex, I have now covered your tutorials for scikit (supervised and unsupervised), and nltk and now onto pandas. I just love them! Thank You so much for putting your time and effort into all this.
    Also, it would be great if you could do a series on deep learning/neural nets in near future...