artificial intelligence · decision trees · JAVA · machine learning · sqlite

Decision Trees + JAVA + generate & use rules + SQLite DB and file storage


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artificial intelligence · decision trees · JAVA · machine learning

Generate & use rules – Decision Tree w/ JAVA Project 04


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adaboost · boosting · ensemble learning · JAVA · machine learning

AdaBoost w/ JAVA (Tutorial 01)


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artificial intelligence · decision trees · JAVA · machine learning · sqlite

Decision Trees + build xml decision trees + JAVA + data from SQLite DB and file functionality


00:10 import into Eclipse the downloaded zip file for ‘Decision Tree Tutorial 03 w/ JAVA – Grow XML Tree’
00:27 create a new project and copy code from imported project
00:58 add and setup the sqlite jdbc jar file to the project
01:29 create a new package that will contain all 3 drivers for DB, File, & Hardcoded data
01:43 refactor code
05:26 code CreateDB01 class to create the database and create + populate the weather and contact lenses tables
06:50 run CreateDB01 to create + populate database
07:00 code the ‘data from database’ DBDriver class
08:34 test run the ‘data from database’ DBDriver
09:24 code the ‘data from file’ FileDriver class
11:35 test run the ‘data from file’ FileDriver
12:20 test run the hard-coded data Driver

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Naive Bayes · Python · sentiment classification · sqlite

Naive Bayes + Sentiment Classification + Python + SQLite


00:10 start from downloaded file for ‘Naive Bayes Tutorial 01 w/ Python – Sentiment Classification’
01:27 add python file containing code for creating and populating database
02:14 run code (create_db_01) to create and populate database
02:22 refactor hard-coded data functionality
03:50 test run hard-coded data functionality
04:21 add data from database functionality
05:26 test run data from database functionality
06:00 add data from file functionality
07:09 test run data from file functionality

Website + download source code @ http://zaneacademy.com or https://zaneacademyapp.appspot.com

JAVA · Naive Bayes · sentiment classification · sqlite

Naive Bayes + Sentiment Classification + SQLite + JAVA


00:10 import into Eclipse the downloaded zip file for ‘Naive Bayes w/ JAVA Tutorial 02 – Sentiment Classification’
00:27 create a new project and copy code from imported project
01:00 add and setup the sqlite jdbc jar file to the project
01:30 create a new package that will contain all 3 drivers for DB, File, & Hardcoded data
01:55 refactor code
03:30 test run + debug the hard-coded data Driver
05:30 code and run CreateDB01 class to create and populate the database
06:48 run CreateDB01 class to create and populate the database
07:03 code the ‘data from database’ DBDriver class
07:30 test run the ‘data from database’ DBDriver
07:56 code the ‘data from file’ FileDriver class
08:33 test run the ‘data from file’ FileDriver

Website + download source code @ http://zaneacademy.com or https://zaneacademyapp.appspot.com

decision trees · Python · sqlite

Decision Tree (01) w/ Python + SQLite DB


00:10 start from downloaded file for ‘Decision Tree Tutorial 01 w/ Python – Find best feature to split on’
01:05 add python file containing code for creating and populating weather and contact-lenses sqlite tables
02:45 refactor hard-coded data functionality
04:00 test run + debug hard-coded data functionality
05:56 add data from database functionality
06:38 test run + debug data from database functionality
07:22 add data from file functionality
08:35 test run + debug data from file functionality

Website + download source code @ http://zaneacademy.com or https://zaneacademyapp.appspot.com