finished

README.md

@@ -1,40 +1,40 @@
 # Name
 
-write-your-name
+Nikita Voskoboynik
 
 # How many points have you earned?
 
-0/100
+55/100
 
 (Make your own calculation and replace the number 0 with the points you think you've earned.)
 
 # How many hours have you spent on this?
 
-fill-in-your-answer
+8 hours
 
 # When did you first start working on this week's learning challenges?
 
-fill-in-your-answer
+Computer was broken so I did some before the deadline, but had to finish it after.
 
 # What is the most difficult part about this week's challenge?
 
-fill-in-your-answer
+Couldn’t write scripts for 2nd half of mongo challenge.
 
 # Graph Database I
 
 ## Checkpoints (5 points x 3 = 15 points)
 
 ### 1. (5 point)
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/rLomnaU.png)
 
 ### 2. (5 point)
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/RVHGFAW.png)
 
 ### 3. (5 point)
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/hsC7Q2A.png)
 
 # MongoDB IV
 
@@ -44,32 +44,31 @@ fill-in-your-answer
 
 Count
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/1FCekaI.jpg)
 
 FindOne
 
-![screenshot](screenshot.png)
-
+[Imgur](http://i.imgur.com/tMzkKkB.jpg)
 
 Query
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/AwVd8y2.jpg)
 
 
 ### 2. (5 point)
 
 Count
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/wnQl9mw.jpg)
 
 FindOne
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/ZCMNGG0.jpg)
 
 
 Query
 
-![screenshot](screenshot.png)
+[Imgur](http://i.imgur.com/J3bGCbP.jpg)
 
 ### 3. (5 point)
 
@@ -108,117 +107,7 @@ Query 2
 
 # Machine Learning III
 
-## Checkpoints (5 points x 2 = 10 points)
-
-### 1. (5 point)
-
-![screenshot](screenshot.png)
-
-### 2. (5 point)
-
-![screenshot](screenshot.png)
-
-## Challenges (5 points x 4 = 20 points)
-
-### 1. (5 point)
-
-Accuracy = {fill-in-your-best-number}
-
-Features/Parameters
-
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-### 2. (5 point)
-
-Accuracy = {fill-in-your-best-number}
-
-Features/Parameters
-
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-### 3. (5 point)
-
-Accuracy = {fill-in-your-best-number}
-
-Features/Parameters
-
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-### 4. (5 point)
-
-Accuracy = {fill-in-your-best-number}
-
-Features/Parameters
-
-	%%%%%%%%% Choose feature source %%%%%%%%%%%
-	add_accelerometer = {TODO}; % Adds accelerometer features
-	add_gyroscope = {TODO}; % Adds gyroscope features
-	add_magneticField = {TODO}; % Adds magnetic field features
-	add_gravity = {TODO}; % Adds gravity features
-	add_linearAcceleration = {TODO}; % Adds linear acceleration features
-	add_orientation = {TODO}; % Adds azimuth, pich and roll features
-	add_light = {TODO}; % Adds light value
-	add_proximity = {TODO}; % Adds proximity value
-	add_studentID = {TODO}; % Adds student ID
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-	%%%%%%%%% Choose machine learning classifier parameters %%%%%%%%%%%%%%%
-	numTrees = {TODO}; % Try different number of trees for the Random Forest classifier
-	sigma = {TODO}; % Try different values of sigma for the Support Vector Machine classifier
-	dist = {TODO}; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
-	K = {TODO}; % Try different values of K for the K-nearest Neighbor classifier
-	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+DO NOT HAVE MATLAB/NEVER USED IT. EMAILED TOM AND WAS TOLD TO NOT WORRY ABOUT IT.
 
 
 # D3 (VI) (5 points x 7 = 35 points)

app.js

@@ -3,7 +3,7 @@ var express = require('express');
 var app = express();
 
 var mongo = require('mongoskin');
-var db = mongo.db("mongodb://{USERNAME}:{PASSWORD}@{SEVERURL}", {native_parser:true});
+var db = mongo.db("mongodb://127.0.0.1:27017/test”, {native_parser:true});
 
 app.engine('.html', require('ejs').__express);
 app.set('views', __dirname);
@@ -12,7 +12,7 @@ app.set('view engine', 'html');
 app.get('/state/:state', function(req, res) {
     var query = {"state" : req.params.state};
     var projection = {};
-    db.collection('business')
+    db.collection('businesses’)
         .find(query,projection)
         .limit(20)
         .toArray(function (err, items) {