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docs: update README to enhance project organization and clarity
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README.md

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@@ -6,33 +6,8 @@ For a detailed understanding of these projects, you can refer to the comprehensi
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In addition to these projects, I regularly share my insights and learnings on the Medium platform. You can access my articles [here](https://medium.com/@morihosseini/).
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**Please note:** The projects listed below are organized alphabetically for your convenience.
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<details>
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<summary><strong>Table of contents</strong></summary>
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- [Anomaly Detection](#rotating_light-anomaly-detection)
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- [Automation](#factory-automation)
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- [Computer Vision](#camera-computer-vision)
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- [Configuration](#wrench-configuration)
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- [Data Structures](#-data-structures)
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- [Data Visualization](#art-data-visualization)
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- [EDA (Exploratory Data Analysis)](#mag-eda-exploratory-data-analysis)
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- [ETL (Extract, Transform, Load)](#hammer_and_wrench-etl-extract-transform-load)
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- [Hyperparameter Tuning](#gear-hyperparameter-tuning)
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- [LLM (Large Language Model)](#brain-llm-large-language-model)
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- [Logging](#page_facing_up-logging)
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- [Machine Learning](#robot-machine-learning)
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- [Privacy](#lock-privacy)
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- [Python](#snake-python)
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- [Software Design](#construction-software-design)
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- [Statistical Analysis](#chart_with_upwards_trend-statistical-analysis)
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- [Synthetic Data Generation](#bulb-synthetic-data-generation)
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- [Terminal](#desktop_computer-terminal)
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- [Time-series Analysis](#hourglass_flowing_sand-time-series-analysis)
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- [Web Scraping](#spider_web-web-scraping)
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- [XAI (Explainable AI)](#memo-xai-explainable-ai)
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</details>
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> [!TIP]
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> The projects listed below are organized alphabetically for your convenience.
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## :rotating_light: Anomaly Detection
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- [TOML vs. YAML](configuration/yaml-vs-toml.ipynb): Choosing the right configuration format for your projects.
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## Data Formats
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## :file_folder: Data Formats
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- Top 5 Formats: The top 5 structured data formats for data science.
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- TOON: Token-efficient, human-readable serialization format optimized for LLM contexts.
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- [Top 5 Formats](website/docs/format/structured-formats.md): Top 5 structured data formats for data science.
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- [TOON](website/docs/format/toon.md): Token-efficient, human-readable serialization format optimized for LLM contexts.
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## 🧩 Data Structures
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## :jigsaw: Data Structures
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- [Sorting Algorithms](data-structure/sorting-popular.ipynb): A comprehensive guide to understanding and implementing popular sorting algorithms in Python.
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- [Understanding Hashing](data-structure/hashing.ipynb): Dive into the world of hashing, its applications, and Python implementation.
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- [Bloom Filter](data-structure/bloom.ipynb): Learn about the Bloom filter data structure and its applications.
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## :art: Data Visualization
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- ggplot2: Create visually appealing plots with the R's [ggplot2](https://ggplot2.tidyverse.org/) library.
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- [ggplot2](website/docs/visualization/ggplot2.md): Create visually appealing plots with the R's [ggplot2](https://ggplot2.tidyverse.org/) library.
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- [lets-plot](visualization/lets-plot/codebook.ipynb): Create stunning plots with [lets-plot](https://lets-plot.org/index.html), a Python port of the R's [ggplot2](https://ggplot2.tidyverse.org/) library.
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- [Pitfalls](visualization/pitfalls/pitfalls.ipynb): Avoid common pitfalls in data visualization.
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- [QR Code](visualization/qrcode.ipynb): Generate QR codes with ease.

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