Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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🔥Powerful Combo: Ultralytics YOLO11 + Sony Semicon | AITRIOS (Global) Platform + Raspberry Pi
We’ve recently updated our Sony IMX model export to fully support YOLO11n detection models! This means you can now seamlessly run YOLO11n models directly on Raspberry Pi AI Cameras powered by the Sony IMX500 sensor — making it even easier to develop advanced Edge AI applications. 💡
To test this new export workflow, I trained a model on the VisDrone dataset and exported it using the following command:
👉
yolo export model=<path_to_drone_model> format=imx data=VisDrone.yaml
🎥 The video below shows the result of this process!
🔍Benchmark results for YOLO11n on IMX500: Inference Time: 62.50 ms mAP50-95 (B): 0.644📌 Want to learn more about YOLO11 and Sony IMX500? Check it out here ➡️
https://docs.ultralytics.com/integrations/sony-imx500/

#EdgeAI#YOLO11#SonyIMX500#AITRIOS#ObjectDetection#RaspberryPiAI#ComputerVision#DeepLearning#OnDeviceAI#ModelDeployment

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💃 GENMO: Generalist Human Motion by NVIDIA 💃

NVIDIA introduces GENMO, a unified generalist model for human motion that seamlessly combines motion estimation and generation within a single framework. GENMO supports conditioning on videos, 2D keypoints, text, music, and 3D keyframes, enabling highly versatile motion understanding and synthesis.

Currently, no official code release is available.

Review:
https://t.ly/Q5T_Y

Paper:
https://lnkd.in/ds36BY49

Project Page:
https://lnkd.in/dAYHhuFU

#NVIDIA #GENMO #HumanMotion #DeepLearning #AI #ComputerVision #MotionGeneration #MachineLearning #MultimodalAI #3DReconstruction


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python_basics.pdf
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🚀 Master Python with Ease!

I've just compiled a set of clean and powerful Python Cheat Sheets to help beginners and intermediates speed up their coding workflow.

Whether you're brushing up on the basics or diving into data science, these sheets will save you time and boost your productivity.

📌 Topics Covered:
Python Basics
Jupyter Notebook Tips
Importing Libraries
NumPy Essentials
Pandas Overview

Perfect for students, developers, and anyone looking to keep essential Python knowledge at their fingertips.

#Python #CheatSheets #PythonTips #DataScience #JupyterNotebook #NumPy #Pandas #MachineLearning #AI #CodingTips #PythonForBeginners

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Some projects don’t scream for attention — they quietly change the way we learn🧑‍🎓.
Python Data Science Handbook is one of them📖.


🧑‍🎓 What is it?
A powerful open-source GitHub repository by Jake VanderPlas.
It turns his bestselling book into interactive Jupyter notebooks that teach:

🧮 NumPy → fast array operations

📊 Pandas → data cleaning & analysis

📈 Matplotlib → clear visualizations

🤖 Scikit-learn → machine learning made simple

🛸 IPython → efficient coding environment


🎚️Run everything instantly via Binder or Google Colab — no setup needed.

Don’t chase complexity... Start with clarity.


🖥 GitHub

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Imagine an AI assistant for data scientists that builds an entire Jupyter notebook on request

Data Copilot - is like Cursor, but it is designed for working with data📊

Imports Dataset, cleans it, teaches models, tests it - all in one pass.

And yes, he is completely open-source 🤝.

📝 Documentation

🖥 GitHub
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4️⃣In this repository… you don’t just understand — you experience it😱.

🔗Machine-Learning-Projects by Aswin S isn’t just a collection of code👨‍💻.
It’s a hands-on learning environment powered by Jupyter Notebooks📔, designed to teach you how to apply machine learning algorithms to real-world data📱.

🛸 What’s inside?
A curated set of practical projects that turn theory into action:

🖼Predictive modeling for Black Friday and BigMart sales

🕯Time series forecasting for airline passenger trends

🧬Breast cancer detection from medical datasets.

💳Credit card fraud detection.

🏠Boston housing price prediction.

😳Face recognition using OpenCV.


Each project is built with clarity and purpose👨‍💻.
You can run everything directly in Google Colab — no setup required.

🖥 GitHub

Start with a notebook… and walk away with real skills🏹.


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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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https://t.iss.one/Codeprogrammer
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🐍Looking to get started with Deep Learning using PyTorch?

This well-structured GitHub repository is a goldmine for beginners who want to learn PyTorch with hands-on examples and clear explanations📖.

🗂 What’s Inside?
🈂 Jupyter Notebooks with interactive code.
🧠 Step-by-step tutorials on Tensors, Autograd, and Neural Networks.
🖼 Real-world mini-projects like image classification.
Practical guides on using GPU with PyTorch.
Beginner-friendly but also great for revision.


💡If you're serious about learning AI, this is one of the best free resources to kick off your journey🤝.

🖥 GitHub

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