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    • Machine Leaning (Concepts)
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    • About
    My_notes
      • AI for Everyone
      • Other Key Terminology (TensorFlow)
        • Twitter Sentiment Analyzer
      • Introduction
        • Data Structures
        • Control Flow
        • Functions
        • Error and Exceptions
        • Reading and Writing Files
        • Import Local Scripts
        • Generator and Iterators
        • Useful or researched built-in functions
        • Data bases with Python
        • Useful Snippets
        • Trick and tips for better code in python
        • Context Managers 'with'
        • Multi-threading and Multi-processing
        • SQLAchemy
        • Logging
        • Configuration files
      • Build you own python package
        • PIP notes
          • Introductions
            • count()
            • cycle()
            • repeat()
            • permutations()
            • combinations()
            • groupby()
            • tee()
          • Numpy Basic (Part 1)
          • Numpy Basic (Part 2)
          • Numpy Crash course
          • Pandas Crash course
            • Images and Numpy
            • Images and Opencv
            • Drawing on Images
            • Drawing with mouse
            • Color Mapping
            • Blending and Pasting Images
          • Introduction
          • Introduction
          • Introduction
          • Introduction
          • Introduction
          • Introduction
          • Introduction
          • Introduction
          • Introduction
          • Introduction and notes
          • Quick & Dirty First App
            • Application Layout (Structure)
            • Application Factory & Run
            • Application Database
            • Blueprints (part 01-Auth)
            • Templates
            • Blueprints (part 02-Blog)
            • Forms - Flask-WTF
            • Databases - Flask-SQLAlchemy
            • Databases(Migration) - Flask-Migration
            • Login - Flask-login
          • Introduction
          • Splash
          • Running_multiple_spider
          • Introduction
        • Random Password Generator
        • Create Excel Files With Python
        • Creating a dataset with api and python
        • Scraping Using Python
        • JSON Object in python
        • Scrapy and Scrapyrt
        • Magic Square
      • Virtual Environments
      • Jenkins
      • Random notes about SQL
      • String Functions SQL
      • Advance Function SQL
        • Sketch
        • Control Structure
        • Further Syntax
        • Constants and Data Types
        • Conversion
        • Variable Scope & Qualifiers
        • Digital I/O and Analog I/O
        • Time
        • Math and Trigonometry
        • Characters
        • Random Numbers
        • Communication
        • Interrupts and External Interruptions
        • Morse code Translator
        • Air Vent servo control
      • Introduction
      • News API
      • Datamuse
        • introduction
          • Google Sheet API
          • Create spreadsheets
          • Read and Write spreadsheets
          • Update spreadsheets
      • Coin Market Cap
      • GoldAPI.io
      • Introduction
      • Samba Server
      • Nagios Core
      • How to Install OpenCv on Raspberry pi
      • Raspberry Password Related
      • Setting Open Media Vault
      • Cloning OS Instance
      • Basic Concepts
      • Lens mount
      • SoC
      • STARVIS sensor
      • Wireshark
      • Windows errors
      • What is hypercoverged infrastructure
      • Helpers
      • Mkdocs & Material Mkdocs extensions
      • Espanso ( shortcuts )
        • Reference
        • Reserved words
        • How Scripts Work
        • Functions
        • Plot
        • Text and Trendlines
        • Concepts
        • G-code
          • Center and Z offset
          • E-steps and Extrutor multiplier
          • Debuging and Logging
          • Moving Electronics
        • About design
            • The Hello World of neural networks
            • Introduction to Computer vision
            • Convolutional Neural network Overview
            • Enhancing vision with convolutional Neural Networks
            • (Code) Step by step Convolutions
            • Using Real-World Images
            • Exploring large Datasets - Cats vs Dogs
            • Augmentation
            • Transfer Learning
            • Visualization Crash course
            • Artificial Neural Network
          • Module 1
          • Module 2
      • Aliases in Windows command prompt
      • Useful Windows Commands
      • OAuth 2
      • Random
      • Configuration for Sublime Text 3
      • Create a Dictionary for Kindle
    • About

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    link to the tutorial of fader

    1. Lightroom Quick Tips - The Fader
    2. lightroom Preset
    3. Django tutorial
    4. Django documentation
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