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3.6 Project Implementation Phase

The implementation phase is the stage in a project where the planned solution

is developed and put into action. This phase involves executing tasks like data
preprocessing, machine learning model development, database creation, web

development, data warehousing, dashboard creation, and web server
implementation. Various tools and techniques, including Python, Flask,

MongoDB, MySQL and PowerBI are used. The main deliverables are the

processed data and trained Random Forest models, database, dashboard and
the web system. Table 3.7 shows the detail such as activities, tools and

deliverables involved in this phase.

Table 3.5 Detailed Research Methodology for Implementation Phase

Phase Activities Tools/Techniques Deliverables
Implementation 1. Data 1. Python, data 1. Preprocessed
Phase preprocessing processing libraries data
2. Build, train and 2. Python, Flask and 2. Trained
Objective 2 will test the random Scikit Learn library machine
be fulfilled in forest models 3. Adobe learning

this phase. 3. ETL Dreamweaver model
4. Develop database 4. Visual Studio Code 3. Database
5. Data 5. MongoDB 4. Web
warehousing. 6. MySQL application
6. Dashboard 7. PowerBI 5. Dashboard
7. Web server 8. Hostinger VPS

implementation Server
8. Web Domain 9. Kaggle Data Source
Hosting 10. DOSM Data Source

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