Code Guidance on Machine Learning

[Richard Parker]

Dear Group,

I am a bit new in Machine Learning, and I tried to understand the subject mostly on my own. 

NLTK has always been a great tool for me. 

I am trying to cross check how much I have learnt. 

I am looking for some project which are implemented in full and available in web so that I can cross check 

what I have not done. I am preferably looking for Naive Bayes implementation in Python, but it may be

other algorithms and other languages also. 

If you have any other suggestion please let me know. 

If any one of the esteemed members may kindly help me. 

Regards,

Subhabrata Banerjee. 

[Denzil Correa]

Check the blog by Jacob Perkins. 

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[Richard Parker]

Dear Sir,

Thank you for your kind reply. I check his blog and read his book. Jacob Perkins personally suggested me I am going more or less 

fine, but few days back some external expert asked me how I was selecting feature and saving the model. I was doing it but I was 

in a draw to recollect I was doing them unknowingly. It became a matter of embarrassment.  How may I avoid issues like these?

If you may kindly suggest. 

Regards,

Subhabrata Banerjee. 

[Denzil Correa]

I don't quite understand your question. Look at sklearn for more ML algorithms. 

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[Richard Parker]

Dear Sir, 

Thank you for your kind suggestion. I am sorry if I could not express the problem. 

I am trying to implement some machine learning algorithms. 

I took generally review of my implementations from good number people. 

They kindly said I am going more or less fine. 

Some people tried to inquire few aspects of my ML coding. 

I failed to answer them-though I am implementing them. 

I do not know which part is important and which one is not. 

So giving importance to non-important parts than important steps. 

I am looking for a good and complete implementation of a Machine Learning

code. I may look at it, and check my things what are the things I am not

doing, and improve. Or if I send my code with comments and ask an expert

if I am not doing anything. 

Please suggest as you may kindly feel. 

Regards,

Subhabrata Banerjee.  

[Denzil Correa]

Check sklearn for ML algorithm implementation. Beyond that, you need to check out ML courses - offline or online. 

Unfortunately, this isn't the right mailing list. 

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Sent from a mobile device. Pardon the typos, brevity.

[Richard Parker]

Dear Sir,

Thank you for your kind reply. 

Yes, I am looking for a complete implementation example. I hope scikit learn site will help me. 

I am looking also for a good online or off line tutor to check my things. 

I am trying to work out I live in Delhi India. 

Let me see if any one in this group may be able to give me some personal tutoring. 

Regards,

Subhabrata Banerjee. 

[Pedro Marcal]

Dear Subhabrata,

This is probably not the group to raise the question of machine learning. There are two places you can go to follow machine learning. They use different technologies.

[1] The neural network lab at the U. Montreal.

[2] John Laird's Group on Cognitive systems at U. Michigan, google SOAR.

Regards,

Pedro Marcal

[Sander Stepanov]

pls help find 

http://scikit-learn.org/

example for 

with Bayesian classifier working with characters trigrams

and

 vectorizer.transform()

??

[Richard Parker]

Dear Group,

Thank you for your kind reply and suggestions. Going through various examples in the web I tried to make a Sentiment Analysis
prototype. I discussed it in my local peer group, they are more or less happy. You are expert in NLTK. I am trying to post the code
to you. If you may kindly suggest if I may improve anything.

Regards,
Subhabrata Banerjee. 

[Sander Stepanov]

super

do you have .py file pls