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https://github.com/kennethleungty/kennethleungty

Data Science Portfolio
https://github.com/kennethleungty/kennethleungty
ai analytics artificial-intelligence data data-analytics data-science data-science-portfolio data-scientist deep-learning ds kenneth-leung kennethleungty machine-learning ml portfolio python
Last synced: about 1 month ago
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Data Science Portfolio
Host: GitHub
URL: https://github.com/kennethleungty/kennethleungty
Owner: kennethleungty
Created: 2021-07-31T16:24:37.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2024-09-14T17:19:43.000Z (3 months ago)
Last Synced: 2024-09-15T03:02:13.241Z (3 months ago)
Topics: ai, analytics, artificial-intelligence, data, data-analytics, data-science, data-science-portfolio, data-scientist, deep-learning, ds, kenneth-leung, kennethleungty, machine-learning, ml, portfolio, python
Homepage:
Size: 466 KB
Stars: 25
Watchers: 2
Forks: 5
Open Issues: 0
Metadata Files:
- Readme: README.md
Awesome Lists containing this project

README

        ## 👋 Hello, I'm Kenneth Leung

- Thanks for popping by! As an avid learner, bold builder, curious explorer, and driven doer with a bias towards action, I enjoy seeking and solving meaningful problems with data and technology while having fun at the same time.

- I welcome you to join me on a journey of data science discovery! Follow me on [GitHub](https://github.com/kennethleungty), [Medium](https://kennethleungty.medium.com), and [LinkedIn](https://linkedin.com/in/kennethleungty) to stay updated with more engaging and practical content.

- You can find my data science portfolio here, where every project and article was born out of inspiration, curiosity, and motivation. Feel free to connect for a chat (coffee or virtual) to discuss shared interests and topics!

![Project Count](https://komarev.com/ghpvc/?username=kennethleungty&color=green) ![](https://img.shields.io/static/v1?label=Project+count&message=80&color=2ea44f)

 How to reach me 



    

        

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## Portfolio Contents

1. [Computer Vision](#computer-vision)

2. [Database Management](#database)

3. [Data Extraction and Web Scraping](#data-extraction-and-web-scraping)

4. [Data Science Certification Guides](#data-science-certification-guides)

5. [Data Science Toolkit](#data-science-tools)

6. [Data Science in the Real World](#real-world-data-science)

7. [Generative AI](#generative-ai)

8. [Insights from Data Science Talks](#talks)

9. [Machine Learning](#machine-learning)

10. [MLOps](#mlops)

11. [Natural Language Processing](#natural-language-processing)

12. [Networks and Graphs](#networks-and-graphs)

13. [Responsible AI](#responsible-ai)

14. [Sports Analytics](#sports-analytics)

15. [Visualization](#visualization)

16. [Web Development](#web-development)

17. [Web3 and Metaverse](#web3)

18. [Writing for DataCamp](#writing-for-datacamp)

19. [Writing Tips](#writing-tips)

**Projects with :star: are my personal favourites, so do check them out!**

___



## Computer Vision :eye:

| Title | Article | Repo |

| --- | --- | --- |

| Classifying Images of Alcoholic Beverages with fast.ai v2 | [:link:](https://towardsdatascience.com/classifying-images-of-alcoholic-beverages-with-fast-ai-34c4560b5543?sk=d0efa0e6b6d214c52b337a0381a4fd3d) | [:link:](https://github.com/kennethleungty/Alcohol-Image-Classifier-fastai) |

| Russian Car Plate Detection with OpenCV and TesseractOCR | [:link:](https://towardsdatascience.com/russian-car-plate-detection-with-opencv-and-tesseractocr-dce3d3f9ff5c?sk=263f4351c3c2c5cd9c60a4469b9dab08) | [:link:](https://github.com/kennethleungty/Car-Plate-Detection-OpenCV-TesseractOCR) |

| Evaluate OCR Output Quality with Character Error Rate (CER) and Word Error Rate (WER) | [:link:](https://towardsdatascience.com/evaluating-ocr-output-quality-with-character-error-rate-cer-and-word-error-rate-wer-853175297510?sk=9b76f0a994edc90c105f71ac2f7d725f) | [:link:](https://github.com/kennethleungty/OCR-Metrics-CER-WER) |

| Top Python libraries for Image Augmentation in Computer Vision | [:link:](https://towardsdatascience.com/top-python-libraries-for-image-augmentation-in-computer-vision-2566bed0533e?sk=a45cb5c2070f8434f876d48597addd33) | [:link:](https://github.com/kennethleungty/Image-Augmentation-Libraries) |

| :star: PyTorch Ignite Tutorial - Classifying Tiny ImageNet with EfficientNet | [:link:](https://towardsdatascience.com/pytorch-ignite-classifying-tiny-imagenet-with-efficientnet-e5b1768e5e8f?sk=505c5489f67772912e40ce0ed67bba20) | [:link:](https://github.com/kennethleungty/PyTorch-Tiny-ImageNet-Classification) |

| Practical Guide to Transfer Learning in TensorFlow for Multiclass Image Classification | [:link:](https://towardsdatascience.com/practical-guide-to-transfer-learning-in-tensorflow-for-multiclass-image-classification-d35fab7b28c0?sk=712d34ba690c8255588a624419a3ad5a) | [:link:](https://github.com/kennethleungty/TensorFlow-Transfer-Learning-Image-Classification) |

___



## Database Management :file_cabinet:   

| Title | Article | Repo |

| --- | --- | --- |    

| :star: Definitive Guide to Creating a SQL Database on Cloud with AWS and Python | [:link:](https://towardsdatascience.com/definitive-guide-to-create-an-sql-database-on-cloud-with-aws-and-python-c818c7270af2?sk=be354d077fffa25b2eb1e59dd1dd1d94) | [:link:](https://github.com/kennethleungty/AWS-RDS-MySQL-Python) | 

| PyMySQL - Connecting Python and SQL for Data Science | [:link:](https://towardsdatascience.com/pymysql-connecting-python-and-sql-for-data-science-91e7582d21d7?sk=d450443e2e74f1c8b5d7d3820d1e9202) | [:link:](https://github.com/kennethleungty/PyMySQL-Demo) | 

    

___



## Data Extraction and Web Scraping :toolbox:

| Title | Article | Repo |

| --- | --- | --- |

| Using OneMap API to extract Singapore postal codes, coordinates and travel distance | - | [:link:](https://github.com/kennethleungty/OneMap-API) |

| A Detailed Web Scraping Walkthrough Using Python and Selenium | [:link:](https://medium.com/swlh/web-scrapping-healthcare-professionals-information-1372385d639d?sk=a1acd77dc36b84a1446fa4106831d15d) | [:link:](https://github.com/kennethleungty/Web-Scraping-Walkthrough-HCP-Info) |

| :star: How to Web Scrape Wikipedia using LangChain Agents and Tools with OpenAI's LLMs and Function Calling | [🔗](https://medium.datadriveninvestor.com/how-to-web-scrape-wikipedia-using-llm-agents-f0dba8400692?sk=890b6e9281596573274cfe407ffe5f87)| [:link:](https://github.com/kennethleungty/Wikipedia-Scraping-with-LLM-Agents) |

  

___



## Data Science Certification Guides :man_student:

| Title | Article | Repo |

| --- | --- | --- |

| 3 Steps to Get AWS Cloud Practitioner Certified in 2 Weeks | [:link:](https://towardsdatascience.com/3-steps-to-get-aws-cloud-practitioner-certified-in-2-weeks-or-less-772178f48249?sk=b2865229b15eb0342bb0e2030faf8c4a) | [:link:](https://github.com/kennethleungty/AWS-Certified-Cloud-Practitioner-Notes) |

| 3 Steps to Get Tableau Desktop Certified in 2 Weeks | [:link:](https://towardsdatascience.com/3-steps-to-get-tableau-desktop-specialist-certified-in-2-weeks-abbef25778de?sk=5bbc1f99cc8543bb71683239237d91c9) | - |

| :star: No-Frills Guide to Passing the AWS Certified Machine Learning Specialty Exam | [:link:](https://towardsdatascience.com/no-frills-guide-to-passing-the-aws-certified-machine-learning-specialty-exam-55624579353f?sk=c21257b289f7d5ae9e1a661957c3a484) | - |

___



## Data Science Toolkit :hammer_and_wrench:

| Title | Article | Repo |

| --- | --- | --- |

| Common Python codes for Data Wrangling | - | [:link:](https://github.com/kennethleungty/Common-Python-Codes) |

| Enhance your Python code’s readability with pycodestyle | [:link:](https://towardsdatascience.com/enhance-your-python-codes-readability-with-pycodestyle-9838976077cb?sk=d609f9fcac20e3ad0feb086fc1ea160c) | - |

| Free Resources for Generating Realistic Fake Data | [:link:](https://towardsdatascience.com/free-resources-for-generating-realistic-fake-data-da63836be1a8?sk=475419fafb691b93c236b99afe674439) | - |

| Most Starred and Forked GitHub Repos for Data Science and Python | [:link:](https://towardsdatascience.com/the-most-starred-forked-github-repos-for-python-and-data-science-f8bb3de47e96?sk=fba11166d349efae710a45d67fffede9) | - |

| Most Starred and Forked GitHub Repos for Data Science and R | [:link:](https://medium.datadriveninvestor.com/most-starred-and-forked-github-repos-for-r-in-data-science-fb87a54d2a6a?sk=3a74fb3e788faa2307b98dfdabf51384) | - |

| Automatically Generate Machine Learning Code with Just a Few Clicks | [:link:](https://towardsdatascience.com/automatically-generate-machine-learning-code-with-just-a-few-clicks-7901b2334f97?sk=995415e038af91d9a18f9f8e21b04efb) | - |

| Read and Modify Image Metadata with Python | [:link:](https://towardsdatascience.com/read-and-edit-image-metadata-with-python-f635398cd991?sk=ff7814558f3642d356d0988dc188008a) | [:link:](https://github.com/kennethleungty/Image-Metadata-Exif) |

| Top Tips to Google Search Like a Seasoned Data Scientist | [:link:](https://towardsdatascience.com/top-tips-to-google-search-like-a-data-science-pro-897599f4d9ae?sk=710f416b4c7c329ee084c54ec67abf0a) | - |

| How to Swap Day and Month of Incorrectly Formatted Excel Dates | [:link:](https://medium.datadriveninvestor.com/how-to-swap-day-and-month-of-incorrectly-formatted-excel-dates-503dfc7ad7da?sk=1b7154a961c4dd8a1ab0ef791a3922fc) | - |

___



## Data Science in the Real World :earth_asia:

| Title | Article | Repo |

| --- | --- | --- |

| Exploring Illegal Drugs in Singapore — A Data Perspective | [:link:](https://towardsdatascience.com/exploring-illegal-drugs-in-singapore-a-data-perspective-3716a75ee557) | [:link:](https://github.com/kennethleungty/Exploring-Illegal-Drugs) |

| Pharmacokinetic Modeling of Drug Concentration Trajectories using Ordinary Differential Equations (ODE) and Global Optimization with Differential Evolution | - | [:link:](https://github.com/kennethleungty/ODE-Modelling-with-Differential-Evolution) |

| Healthcare’s AI Future — In Conversation with Andrew Ng and Fei-Fei Li | [:link:](https://towardsdatascience.com/healthcares-ai-future-conversation-with-andrew-ng-and-fei-fei-li-a6eacb6aaaf1?sk=be96a46cc7df4fe5abe4bdf810b9518d) | - |    

| Real-World Data Science Use Cases in the Insurance Industry | [:link:](https://medium.datadriveninvestor.com/real-world-data-science-use-cases-in-the-insurance-industry-58f280983ee2?sk=5c4a080f00cf953fc91f4f21bf4a0e74) | - |    

| :star: Failed-ML: Compilation of high-profile real-world examples of failed machine learning projects | [:link:](https://towardsdatascience.com/when-ai-goes-astray-high-profile-machine-learning-mishaps-in-the-real-world-26bd58692195?sk=7b1b9831399403b123523172e74c8ddd) | [:link:](https://github.com/kennethleungty/Failed-ML) |

___



## Generative AI :robot:    

| Title | Article | Repo |

| --- | --- | --- |

| Generative AI Pharmacist - Macy | [:link:](https://www.linkedin.com/feed/update/urn:li:activity:7031533843429949440) | [:link:](https://github.com/kennethleungty/Generative-AI-Pharmacist) |

| :star: ChatPod - Q&A over your Podcasts with Whisper, FAISS, and LangChain | [:link:](https://www.linkedin.com/feed/update/urn:li:activity:7051350652484026368/) | [:link:](https://github.com/kennethleungty/ChatPod/) |

| :star: Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A | [:link:](https://kennethleungty.medium.com/running-llama-2-on-cpu-inference-for-document-q-a-3d636037a3d8?sk=d9e9f1ad0ff72e66adf11e0226ad4489) | [:link:](https://github.com/kennethleungty/Llama-2-Open-Source-LLM-CPU-Inference) |

| Domain LLMs - Compilation of Customized LLMs for Specific Domains and Industries | - | [:link:](https://github.com/kennethleungty/Domain-LLMs) |

| :star: Text-to-Audio Generation with Bark, Clearly Explained | [:link:](https://betterprogramming.pub/text-to-audio-generation-with-bark-clearly-explained-4ee300a3713a?sk=e2b2f75f5fc93c656bef031c60bf99bf) | [:link:](https://github.com/kennethleungty/Text-to-Audio-with-Bark) |

| Guide to ChatGPT's Advanced Settings — Top P, Frequency Penalties, Temperature, and More | [:link:](https://towardsdatascience.com/guide-to-chatgpts-advanced-settings-top-p-frequency-penalties-temperature-and-more-b70bae848069?sk=c976bb82783c56b37b2549cc79628f12) | - |

| Inside the Leaked System Prompts of GPT-4, Gemini 1.5, Claude 3, and More | [:link:](https://medium.com/gitconnected/inside-the-leaked-system-prompts-of-gpt-4-gemini-1-5-claude-3-and-more-4ecb3d22b447?sk=7e053318c47b260ee482a5c8b319dd83) | - |

| :star: Exposing Jailbreak Vulnerabilities in LLM Applications with ARTKIT | [:link:](https://medium.com/towards-data-science/exposing-jailbreak-vulnerabilities-in-llm-applications-with-artkit-d2df5f56ece8?sk=99f8d313c09ab04b15b8627c997b3705) | [:link:](https://github.com/kennethleungty/ARTKIT-Gandalf-Challenge) |

___



## Insights from Data Science Talks :man_teacher:

| Title | Article | Repo |

| --- | --- | --- |

| Bridging AI’s Proof-of-Concept to Production Gap — Insights from Andrew Ng | [:link:](https://towardsdatascience.com/bridging-ais-proof-of-concept-to-production-gap-insights-from-andrew-ng-f2ac119ee737?sk=3a5e77fd5e3d7f4ca4f6118a6c98c7af) | - |

    

___



## Machine Learning :slot_machine:

| Title | Article | Repo |

| --- | --- | --- |

| Exploring Condominium Rental Prices with Web Scraping and Exploratory Data Analysis | [:link:](https://medium.com/swlh/web-scrapping-and-data-analysis-of-condominium-rental-market-in-singapore-da5265c71d19) | [:link:](https://github.com/kennethleungty/Singapore-Condo-Rental-Market-Analysis) |

| Using Ensemble Regressors to Predict Condominium Rental Prices | [:link:](https://medium.com/geekculture/using-ensemble-regressors-to-predict-condo-rental-prices-47eb7c3d5cd9) | [:link:](https://github.com/kennethleungty/Singapore-Condo-Rental-Market-Analysis) |

| The Dying ReLU Problem, Clearly Explained | [:link:](https://towardsdatascience.com/the-dying-relu-problem-clearly-explained-42d0c54e0d24?sk=44114ea1d3f153c69a6c846806299447) | - |

| Why Bootstrapping Actually Works | [:link:](https://towardsdatascience.com/why-bootstrapping-actually-works-1e75640cf172?sk=fb4234ee543cec688b9fcc56560dcd27) | - |

| :star: Assumptions of Logistic Regression, Clearly Explained | [:link:](https://towardsdatascience.com/assumptions-of-logistic-regression-clearly-explained-44d85a22b290?sk=02e66433ea855897d8164e5027866137) | [:link:](https://github.com/kennethleungty/Logistic-Regression-Assumptions) |

| Data-Centric AI Competition - Tips and Tricks of a Top 5% Finish | [:link:](https://towardsdatascience.com/data-centric-ai-competition-tips-and-tricks-of-a-top-5-finish-9cacc254626e?sk=540ba74bd77f36016beb73f59fb58584) | [:link:](https://github.com/kennethleungty/Data-Centric-AI-Competition) |

| Credit Card Fraud Detection with AutoXGB | [:link:](https://towardsdatascience.com/autoxgb-for-financial-fraud-detection-f88f30d4734a?sk=13bbbe9761698db8d4c0ffef661db916)| [:link:](https://github.com/kennethleungty/Credit-Card-Fraud-Detection-AutoXGB) |

| :star: Micro, Macro & Weighted Averages of F1 Score, Clearly Explained | [:link:](https://towardsdatascience.com/micro-macro-weighted-averages-of-f1-score-clearly-explained-b603420b292f?sk=e319c91bebb43b90a1e9cd2bcfce311d) | - |

| Principal Component Regression - Clearly Explained and Implemented | [:link:](https://towardsdatascience.com/principal-component-regression-clearly-explained-and-implemented-608471530a2f?sk=60a7d1ed57b94e744dff1bb356a9e986) | [:link:](https://github.com/kennethleungty/Principal-Component-Regression) |

| :star: Feature Selection with Simulated Annealing in Python, Clearly Explained | [:link:](https://towardsdatascience.com/feature-selection-with-simulated-annealing-in-python-clearly-explained-1808db14f8fa?sk=4b74f6b1e9143f6b3066dd1b5980c2d4) | [:link:](https://github.com/kennethleungty/Simulated-Annealing-Feature-Selection) |

| Quick Primer on Types of Missing Data and Imputation Techniques | [:link:](https://medium.com/geekculture/quick-primer-on-types-of-missing-data-and-imputation-techniques-cf253ce88755?sk=efe876f9c0d658a326ad4520bc5076e7) | - |

| Imputation of Missing Data in Tables with DataWig | [:link:](https://towardsdatascience.com/imputation-of-missing-data-in-tables-with-datawig-2d7ab327ece2?sk=0462569e9e01e3c9681c985631ca3b51) | [:link:](https://github.com/kennethleungty/DataWig-Missing-Data-Imputation) |

    

___



## MLOps - Machine Learning Operations :man_mechanic:

| Title | Article | Repo |

| --- | --- | --- |

| Key Learning Points from MLOps Specialization — Course 1/4 | [:link:](https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-deeplearning-ai-andrew-ng-5d0746605752?sk=3d1215fd0a562af6f74033a13fa05107) | [:link:](https://github.com/kennethleungty/MLOps-Specialization-Notes/tree/main/1.%20Introduction%20to%20Machine%20Learning%20in%20Production) |

| Key Learning Points from MLOps Specialization — Course 2/4 | [:link:](https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-2-13af51e22d90?sk=29b8ffeae2530cf244b5fcf1c09ba54d) | [:link:](https://github.com/kennethleungty/MLOps-Specialization-Notes/tree/main/2.%20Machine%20Learning%20Data%20Lifecycle%20in%20Production) |

| Key Learning Points from MLOps Specialization — Course 3/4 | [:link:](https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-3-9e67558212ee?sk=1b5120c42d3326a11889dc13a354c484) | [:link:](https://github.com/kennethleungty/MLOps-Specialization-Notes/tree/main/3.%20Machine%20Learning%20Modeling%20Pipelines%20in%20Production) |

| Key Learning Points from MLOps Specialization — Course 4/4 | [:link:](https://towardsdatascience.com/key-learning-points-from-mlops-specialization-course-4-ee39bbd2864b?sk=ef14da43869074668002cfb89fb87735) | [:link:](https://github.com/kennethleungty/MLOps-Specialization-Notes/tree/main/4.%20Deploying%20Machine%20Learning%20Models%20in%20Production) |       

| :star: End-to-End AutoML Pipeline with H2O AutoML, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell | [:link:](https://towardsdatascience.com/end-to-end-automl-train-and-serve-with-h2o-mlflow-fastapi-and-streamlit-5d36eedfe606?sk=9dcb775703e54445bfb35e1a86ad5381) | [:link:](https://github.com/kennethleungty/End-to-End-AutoML-Insurance) |

| :star: How to Dockerize Machine Learning Applications Built with H2O, MLflow, FastAPI, and Streamlit | [:link:](https://towardsdatascience.com/how-to-dockerize-machine-learning-applications-built-with-h2o-mlflow-fastapi-and-streamlit-a56221035eb5?sk=3ac7a613f10b42e9fbc0c395d7d529af) | [:link:](https://github.com/kennethleungty/End-to-End-AutoML-Insurance) |

| :star: Building and Managing an Isolation Forest Anomaly Detection Pipeline with Kedro | [:link:](https://neptune.ai/blog/data-science-pipelines-with-kedro) | [:link:](https://github.com/kennethleungty/Anomaly-Detection-Pipeline-Kedro) |

    

___



## Natural Language Processing :bookmark_tabs:

| Title | Article | Repo |

| --- | --- | --- |

| COVID-19 Vaccine — What’s the Public Sentiment? | [:link:](https://towardsdatascience.com/covid-19-vaccine-whats-the-public-sentiment-7149c9b42b99?sk=614cb3f0f8b00d03240f0e439260e479) | [:link:](https://github.com/kennethleungty/COVID19-Vaccine-Sentiment-Analysis) |

| Keyword Extraction and Analysis Pipeline with KeyBERT and Taipy | [:link:](https://towardsdatascience.com/arxiv-keyword-extraction-and-analysis-pipeline-with-keybert-and-taipy-2972e81d9fa4?sk=b45c99c3d1104e3eeea80d9c3fb1a993) | [:link:](https://github.com/kennethleungty/Keyword-Analysis-with-KeyBERT-and-Taipy) |

___



## Networks and Graphs :globe_with_meridians:

| Title | Article | Repo |

| --- | --- | --- |

| :star: Network Analysis and Visualization of Drug-Drug Interactions | [:link:](https://towardsdatascience.com/network-analysis-and-visualization-of-drug-drug-interactions-1e0b41d0d3df?sk=4ef977b9ba9f726bf3d30549296ae1ec) | [:link:](https://github.com/kennethleungty/Drug-Interactions-Network-Analysis-and-Visualization) |

| How to Deploy Interactive Pyvis Network Graphs on Streamlit | [:link:](https://towardsdatascience.com/how-to-deploy-interactive-pyvis-network-graphs-on-streamlit-6c401d4c99db?sk=a5ee66d9e548f2b69e309ac10a531eba) | [:link:](https://github.com/kennethleungty/Pyvis-Network-Graph-Streamlit) |

| A No-Code Approach to Building Knowledge Graphs | [:link:](https://towardsdatascience.com/a-no-code-approach-to-building-knowledge-graphs-ce5d6b244b2b?sk=36c9171d5774e277a164618901ab5b94) | [:link:](https://blog.kgbase.com/a-no-code-approach-to-building-knowledge-graphs/) |

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## Responsible AI :police_officer:

| Title | Article | Repo |

| --- | --- | --- |

| Responsible AI Masterclass (for Institute of Banking and Finance Singapore) | [:link:](https://www.linkedin.com/feed/update/urn:li:activity:7206097813410107392/) | [:link:](https://github.com/kennethleungty/Responsible-AI-Masterclass) |

___



## Sports Analytics :soccer:

| Title | Article | Repo |

| --- | --- | --- |

| :star: Analyzing English Premier League VAR Football Decisions | [:link:](https://towardsdatascience.com/analyzing-english-premier-league-var-football-decisions-c6d280061ebf?sk=4d968e99ff9ec1e1322bb69fc0af280c) | [:link:](https://github.com/kennethleungty/English-Premier-League-VAR-Analysis) |

| Combining Python and R for FIFA Football World Ranking Analysis | [:link:](https://towardsdatascience.com/combining-python-and-r-for-fifa-football-world-ranking-analysis-d71bb6ceacdb) | [:link:](https://github.com/kennethleungty/FIFA-Football-World-Rankings) |

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## Visualization :chart_with_upwards_trend:

| Title | Article | Repo |

| --- | --- | --- |

| Uniform Singapore Energy Price and Demand Forecast Dashboard (with Plotly Dash) | - | [:link:](https://github.com/kennethleungty/Plotly-Dash-USEP-Dashboard) |

| Visualizing Fortune 500 Companies in a Bar Chart Race | [:link:](https://towardsdatascience.com/the-fortune-500-bar-chart-race-9612dc9d0e63?sk=6ac0cffbe15e0d152bed9b6440c78a24) | [:link:](https://github.com/kennethleungty/Fortune-Global-500-Bar-Chart-Race) |

| How to Easily Draw Neural Network Architecture Diagrams | [:link:](https://towardsdatascience.com/how-to-easily-draw-neural-network-architecture-diagrams-a6b6138ed875?sk=89e9e58c0b0c2e47525051f5f88d4048) | [:link:](https://github.com/kennethleungty/Neural-Network-Architecture-Diagrams) |

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## Web Development :desktop_computer:

| Title | Article | Repo |

| --- | --- | --- |

| :star: Post COVID-19 Vaccination Wait-Time Tracker (with Python Flask) | [:link:](https://www.linkedin.com/feed/update/urn:li:activity:6822717617636282368/) | [:link:](https://github.com/kennethleungty/Post-Vaccine-Timer) |

| From HTTP to HTTPS — Easily Secure Flask Web Apps With Talisman | [:link:](https://betterprogramming.pub/from-http-to-https-easily-secure-flask-web-apps-with-talisman-3359692d3eac?sk=bdee663dbbb69bee8b40dd952a693e3e) | - |

| :star: Food King Directory (in collaboration with Night Owl Cinematics) | [:link:](https://www.linkedin.com/feed/update/urn:li:activity:6889772186220019712/) | [:link:](https://directory.foodking.sg) |

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## Web3 and Metaverse :man_technologist:

| Title | Article | Repo |

| --- | --- | --- |

| The Web3 / Metaverse Glossary — A Keyword Guide to the Tech Future | [:link:](https://medium.datadriveninvestor.com/the-web3-metaverse-glossary-a-keyword-guide-to-the-tech-future-42afedd9c3c0?sk=2515b48545a28d1d185608e405442aa5) | - |

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## Writing for DataCamp :writing_hand:

| Title | Article | Repo |

| --- | --- | --- |

| :star: What Mature Data Infrastructure Looks Like | [:link:](https://www.datacamp.com/community/blog/data-infrastructure-tools) | - |

| Democratizing Data in Government Agencies | [:link:](https://www.datacamp.com/community/blog/democratizing-data-in-government-agencies) | - |

| A Survey Into Data Governance Tools | [:link:](https://www.datacamp.com/community/blog/a-survey-into-data-governance-tools) | - |

| Scaling Data Science With Data Governance | [:link:](https://www.datacamp.com/community/blog/scaling-data-science-with-data-governance) | - |

| 3 Reasons Why All Teams Should Learn SQL | [:link:](https://www.datacamp.com/community/blog/why-your-organization-should-upskill-on-sql) | - |

| 3 Reasons Why All Teams Should Learn R | [:link:](https://www.datacamp.com/community/blog/three-reasons-why-all-teams-should-learn-r) | - |

| How Tableau Helps Your Organization Achieve Greater Data Insights | [:link:](https://www.datacamp.com/community/blog/why-your-organization-should-upskill-on-tableau) | - |

| How PowerBI Helps Your Organization Achieve Greater Data Insights | [:link:](https://www.datacamp.com/community/blog/why-your-organization-should-upskill-on-powerbi) | - |

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## Writing Tips :scroll:

| Title | Article | Repo |

| --- | --- | --- |

| Create a Clickable Table of Contents for Your Medium Posts | [:link:](https://medium.com/geekculture/how-to-create-clickable-table-of-contents-for-your-medium-posts-e81e22f83142?sk=a3993bdd63a3faeb1f324e05007faad9)  | - |

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