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Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

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πŸ“Š Data Visualization Learning Roadmap

πŸ‘©πŸ»β€πŸ’» Many people ask me where to start to learn "data visualization"?

✏️ The truth is that data visualization has its own language that we need to learn. We need to start with the basics and then gradually move on to more complex topics.

βœ… I have used some great resources along the way that I am still learning from. With every project, consultation, or course I take, my experiences grow. Here is a summary of the useful resources that have helped me:πŸ‘‡


1️⃣ Part One: Articles and Books:

πŸ“‘ Full article by Lisa Charlotte Muth

πŸ”— Article link: started data visualization

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2️⃣ Books:

πŸ“š Book: Storytelling with Data

πŸ“š Book: Practical Charts

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3️⃣ Learning communities:

πŸ‘€ Membership link: Storytelling with Data

β˜‘οΈ Membership link: DataVis Community

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4️⃣ Podcasts:

🌟 Link: SWD Podcast
🌟 Link: Data Viz Today
🌟 Link: PolicyViz

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5️⃣ Key resources:

πŸ“š Data Visualization Guide: This guide includes great resources for learning and developing data visualization skills.

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6️⃣ Training courses:

πŸ“£ Effective data visualization / Learning to turn data into art.

πŸ“£ Information design /storytelling with data in Illustrator.

πŸ“£ Data Visualization / This course provides creative tools and techniques for visualization.

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7️⃣ Data visualization tools:

⬅️ Link: Scimago Graphica
⬅️ Link: Datawrapper
⬅️ Link: Flourish
⬅️ Link: Tableau Public
⬅️ Link: RStudio & Python

https://t.me/CodeProgrammer βœ…
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Forwarded from Tomas
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NumPy Practical Examples: Useful Techniques

Link: https://realpython.com/numpy-example/

#numpy #python

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🌟 Join @DeepLearning_ai & @MachineLearning_Programming! 🌟
Explore AI, ML, Data Science, and Computer Vision with us. πŸš€

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Check if Instagram or Facebook is down using #Python

https://t.me/CodeProgrammer 🐍
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Audio to Text using Python

#python

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Voice Recorder in #Python

https://t.me/CodeProgrammer 🐍
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Machine Learning Algorithm basics!
Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN)

#MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI

https://t.me/CodeProgrammer 🐍
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Machine Learning concepts - Intermediate Level.
Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Connected

#MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI #Algorithms

https://t.me/CodeProgrammer 🐍
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To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and offers versatile customization options.

πŸš€ Link to Prettymaps: bit.ly/3Ps02Qj

πŸ”– Dive deeper into the post: bit.ly/3PxxJjm

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πŸ–₯ Large Language Model Course

The popular free LLM course has just been updated.

This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base.

The course is divided into 3 parts:
1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks.
2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks.
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