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week 11 submit #34

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182 changes: 76 additions & 106 deletions README.md
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Original file line number Diff line number Diff line change
@@ -1,40 +1,39 @@
# Name

write-your-name

Jose Vieitez
# How many points have you earned?

0/100
65/100

(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
7

# When did you first start working on this week's learning challenges?

fill-in-your-answer

# What is the most difficult part about this week's challenge?

fill-in-your-answer
dealing with switiching databases from online mongodb to offline and keeping the sources straight

# Graph Database I

## Checkpoints (5 points x 3 = 15 points)

### 1. (5 point)

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/DZ5AxDD.png?raw=true)

### 2. (5 point)

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/VTJnl5u.png?raw=true)

### 3. (5 point)

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/nmloWCO.png?raw=true)

# MongoDB IV

Expand All @@ -44,66 +43,37 @@ fill-in-your-answer

Count

![screenshot](screenshot.png)

FindOne

![screenshot](screenshot.png)


Query

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/KFWFBJN.png?raw=true)


### 2. (5 point)

Count

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/xsJDnHn.png?raw=true)

FindOne

![screenshot](screenshot.png)


Query

![screenshot](screenshot.png)
http://i.imgur.com/Vw8WtGL.png

### 3. (5 point)

Count

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/Vw8WtGL.png?raw=true)

FindOne

![screenshot](screenshot.png)

![screenshot](http://i.imgur.com/4KXveOn.png?raw=true)

Query

![screenshot](screenshot.png)


### 4. (5 point)

Count

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/kDENO3u.png?raw=true)

FindOne

![screenshot](screenshot.png)

Query 1

![screenshot](screenshot.png)

Query 2

![screenshot](screenshot.png)


# Machine Learning III
Expand All @@ -112,112 +82,112 @@ Query 2

### 1. (5 point)

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/tOuJ37F.png?raw=true)

### 2. (5 point)

![screenshot](screenshot.png)
![screenshot](http://i.imgur.com/56VxXaL.png?raw=true)

## Challenges (5 points x 4 = 20 points)

### 1. (5 point)

Accuracy = {fill-in-your-best-number}
Accuracy = 70.3520

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
add_accelerometer = false; % Adds accelerometer features
add_gyroscope = true; % Adds gyroscope features
add_magneticField = true; % Adds magnetic field features
add_gravity = true; % Adds gravity features
add_linearAcceleration = true; % Adds linear acceleration features
add_orientation = true; % Adds azimuth, pich and roll features
add_light = true; % Adds light value
add_proximity = false; % Adds proximity value
add_studentID = true; % 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
numTrees = 1; % Try different number of trees for the Random Forest classifier
sigma = 1; % Try different values of sigma for the Support Vector Machine classifier
dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
K = 20; % Try different values of K for the K-nearest Neighbor classifier
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

### 2. (5 point)

Accuracy = {fill-in-your-best-number}
Accuracy = 70.096

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
add_accelerometer = false; % Adds accelerometer features
add_gyroscope = true; % Adds gyroscope features
add_magneticField = true; % Adds magnetic field features
add_gravity = true; % Adds gravity features
add_linearAcceleration = true; % Adds linear acceleration features
add_orientation = true; % Adds azimuth, pich and roll features
add_light = true; % Adds light value
add_proximity = false; % Adds proximity value
add_studentID = false; % 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
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
numTrees = 1; % Try different number of trees for the Random Forest classifier
sigma = 1; % Try different values of sigma for the Support Vector Machine classifier
dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
K = 20; % Try different values of K for the K-nearest Neighbor classifier
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

### 3. (5 point)

Accuracy = {fill-in-your-best-number}
Accuracy = 77.8206

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
add_accelerometer = false; % Adds accelerometer features
add_gyroscope = false; % Adds gyroscope features
add_magneticField = true; % Adds magnetic field features
add_gravity = false; % Adds gravity features
add_linearAcceleration = true; % Adds linear acceleration features
add_orientation = true; % Adds azimuth, pich and roll features
add_light = true; % Adds light value
add_proximity = false; % Adds proximity value
add_studentID = false; % 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
numTrees = 1; % Try different number of trees for the Random Forest classifier
sigma = 1; % Try different values of sigma for the Support Vector Machine classifier
dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
K = 20; % Try different values of K for the K-nearest Neighbor classifier
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

### 4. (5 point)

Accuracy = {fill-in-your-best-number}
Accuracy = 76.4706

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
add_accelerometer = false; % Adds accelerometer features
add_gyroscope = true; % Adds gyroscope features
add_magneticField = true; % Adds magnetic field features
add_gravity = false; % Adds gravity features
add_linearAcceleration = true; % Adds linear acceleration features
add_orientation = true; % Adds azimuth, pich and roll features
add_light = true; % Adds light value
add_proximity = false; % Adds proximity value
add_studentID = false; % 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
numTrees = 1; % Try different number of trees for the Random Forest classifier
sigma = 1; % Try different values of sigma for the Support Vector Machine classifier
dist = 'normal'; % Try different distributions = {'normal', 'kernel', 'mvmn' , 'mn'} for Naive Bayes classifier
K = 20; % Try different values of K for the K-nearest Neighbor classifier
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%


Expand Down