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feature|document(final_project): Submitted Answer: Credit Card Fraud
branch: final-project fixed: See #10 bump: Submitted Answer CHANGELOG 2024.08.19 v.0.3.3-00002 - modify: final-project/ - Notebook: Final Project Submitted Answer - project: https://github.com/users/iPoetDev/projects/22 - name: PROJECT: IBM Programme for Artificial Intelligence - Credit Card Fraud - opened: - resolves: #9, #10 - see also:
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final-project/IBMSkillsBuild_ANSWER_AI_CreditCardFraudDetection_EN.ipynb

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" - [x] ☑️Understand the requirements<br><br>\n",
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"- [x] [2] ✅ [<ins> Data Collection</ins>](https://github.com/users/iPoetDev/projects/22/views/1?pane=issue&itemId=72909298)\n",
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" - [x] ☑️Gather Relevant Data - Kaggle\n",
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" - [?] ❌Ensure Data diversity\n",
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" - [?] ❌Prioritize quality sources <br><br>\n",
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" - [?] ☑️Ensure Data diversity\n",
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" - [?] ☑️Prioritize quality sources <br><br>\n",
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"- [x] [3] ✅[<ins> Data Processing</ins>](https://github.com/users/iPoetDev/projects/22?pane=issue&itemId=72909353)\n",
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" - [x] ☑️Clean the data\n",
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" - [?] ❌Organize information - Pre organised\n",
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" - [?] ↪️Organize information - Pre organised\n",
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" - [x] ☑️Visuaise Format for analysis <br><br>\n",
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"- [ ] [4] ✅[<ins> Algorithm Selection</ins>](https://github.com/users/iPoetDev/projects/22#)\n",
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" - [x] ☑️Choose appropriate models\n",
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"- [x] [5] ✅ [<ins> Model Training</ins>](https://github.com/users/iPoetDev/projects/22?pane=issue&itemId=72916346)\n",
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" - [x] ☑️Feed data into model | split the data\n",
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" - [x] ☑️Adjust Parameters\n",
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" - [?] Optimize performance <br><br>\n",
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" - [?] Optimize performance <br><br>\n",
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"- [x] [6] ✅ [<ins>Testing and Validation</ins>](https://github.com/users/iPoetDev/projects/22?pane=issue&itemId=72916473)\n",
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" - [x] ☑️Assess model accuracy\n",
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" - [?] Cross Validate Results\n",
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" - [?] Ensure reliability <br><br>\n",
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" - [?] 🛑Cross Validate Results\n",
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" - [?] 🛑Ensure reliability <br><br>\n",
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"- [ ] [ 7] ❌ [<ins> Iteration and Improvement </ins>](https://github.com/users/iPoetDev/projects/22?pane=issue&itemId=72917451)\n",
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" - [?] Refine algorithms (selection, or logic)\n",
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" - [?] Enhance data quality (sourcing, composition)\n",
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" - [?] Optimize parameters (weights, biases)\n",
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" - [?] 🛑Refine algorithms (selection, or logic)\n",
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" - [?] 🛑Enhance data quality (sourcing, composition)\n",
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" - [?] 🛑Optimize parameters (weights, biases)\n",
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"\n",
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"> <hr>\n",
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"\n",
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"source": [
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"## 3. Methods & Approaches\n",
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"\n",
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"-"
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"- Follow Live Technical Session\n",
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"- Email support from IBM Skills Build"
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],
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"metadata": {
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"id": "kyLJToeRNIJq"
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"## 5. Solution\n",
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"\n",
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"- Coding Style: Employ Functions for completness and future testing\n",
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"- Test Function input for type errors / exit funtion.\n",
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"- Test Function input for type errors / exit function.\n",
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"- Drop custom function back to procedural/top level when error happen (simplify)\n",
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"- Use NumpY Dosstrings to document each custom function. Great to provide in code context/addtional notes.\n",
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"- Constants for top level control params .\n",
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"- Check for types / type errors for inbound parameters.\n",
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"\n",
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"\n",
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"## Importing Necessary Libraries"

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