Name

write-your-name

How many points have you earned?

0/100

(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

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

Graph Database I

Checkpoints (5 points x 3 = 15 points)

1. (5 point)

2. (5 point)

3. (5 point)

MongoDB IV

Challenges (5 points x 4 = 20 points)

1. (5 point)

Count

FindOne

Query

2. (5 point)

Count

FindOne

Query

3. (5 point)

Count

FindOne

Query

4. (5 point)

Count

FindOne

Query 1

Query 2

Machine Learning III

Checkpoints (5 points x 2 = 10 points)

1. (5 point)

2. (5 point)

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
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

D3 (VI) (5 points x 7 = 35 points)

1. (5 point)

2. (5 point)

3. (5 point)

4. (5 point)

5. (5 point)

6. (5 point)

7. (5 point)