shravankumar147

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.

It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data

In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/

shravankumar147

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html

shravankumar147

Transforming Code into Beautiful, Idiomatic Python

Notes from Raymond Hettinger's talk at pycon US 2013 video, slides.

The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!

Looping over a range of numbers

for i in [0, 1, 2, 3, 4, 5]:

shravankumar147

clear all;
clc;

% loading Preprocessed_2s, which contains data
load('Preprocessed_response_2s.mat')
% loading correct respose indices 
load('etc\response_fld0.05_correct.mat');
% load('etc\response_correct_fld0.05.mat');

S=[];

shravankumar147

clear all;
clc;

% loading Preprocessed_2s, which contains data
load('Preprocessed_response_2s.mat')
% loading correct respose indices 
load('etc\response_fld0.05_correct.mat');
% load('etc\response_correct_fld0.05.mat');

S=[];

shravankumar147

clear all;
clc;
stype={'char','pos','bar','pie'}; %modified here
load('S2.mat')  %S2.mat is the correct response data w.r.t. response_fld0.05_correct.mat
eegdata=S;
for type=1:4
%     load('processed_data\features2_normalized.mat');
%     load('processed_data\features_mRMR_400mid.mat');
%     load('processed_data\processed_target_2s1.mat');      
%     load('processed_data\features_target_final.mat');

shravankumar147

load('processed_target_response_2s.mat')
load('S1.mat')
load('etc\response_correct_fld0.05.mat')

nback_target = nback_target(idx);
ctype_target = ctype_target(idx);
processed_meta_2s = processed_meta_2s(idx,:);
eegdata = S;

save data1470.mat eegdata nback_target ctype_target processed_meta_2s

shravankumar147

shravankumar147

set nocompatible              " be iMproved, required
filetype off                  " required
set exrc

set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()

" ==== PLUGINS ====
Plugin 'VundleVim/Vundle.vim'
Plugin 'vim-scripts/L9'

shravankumar147

  from datetime import datetime                                                                                                                     
                                                                                                                                                    
                                                                                                                                                    
  def post_name(name):                                                                                                                              
      """                                                                                                                                           
      This will generate your github post name.                                                                                                     
      example: