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Master Python by Building Real-World Python Projects
https://cuty.io/9lzuoDe3sE
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The Complete Pandas Bootcamp 2023 for Data Analysis - Python
Pandas fully explained! Master the pandas library to analyze, manipulate and visualize data in Python
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Language: #English
Students: 17114
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Published: 2022-06-19 19:31:39 UTC
Price: $49.99
Instructor: | Jobshie Academy |
Content: 4.5 total hours
Articles: 1
Downloadable Resources: 3
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Python and Data Science 💻 (Telegram)
80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains
📌 Agriculture and Food
📌 Medical and Healthcare
📌 Satellite
📌 Security and Surveillance
📌 ADAS and Self Driving Cars
📌 Retail and E-Commerce
📌 Wildlife
Classification library
https://github.com/Tessellate-Imaging/monk_v1
Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo
Detection and Segmentation Library
https://github.com/Tessellate-Imaging/
Monk_Obje...
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Repost from Data Science Books
Programming Techniques using Python (2022)
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Repost from Machine Learning with Python
How to Download Files From URLs With Python
https://realpython.com/python-download-file-from-url
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🎥 Course: [100% OFF] Zero to Hero in Microsoft Excel: Complete Excel guide 2022
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Repost from Data Science Books
A list of the most interactive countries in the channel
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Python and Data Science 💻 (Telegram)
🎥 كورس مرفوع بعنوان: تحليل البيانات باستخدام بايثون.
⏰ الوقت الكلي للكورس: 9h
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Advance Core Python Programming (2021)
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Repost from AI & ML Papers
⭐️ ManimML: Communicating Machine Learning Architectures with Animation
An open-source Python library for easily generating animations of ML algorithms directly from code.
from manim_ml.neural_network import NeuralNetwork, Convolutional2DLayer, FeedForwardLayer
# Make nn
nn = NeuralNetwork([
Convolutional2DLayer(1, 7, filter_spacing=0.32),
Convolutional2DLayer(3, 5, 3, filter_spacing=0.32, activation_function="ReLU"),
FeedForwardLayer(3, activation_function="Sigmoid"),
],
layer_spacing=0.25,
)
self.add(nn)
# Play animation
forward_pass = nn.make_forward_pass_animation()
self.play(forward_pass)
🖥 Github: https://github.com/helblazer811/manimml
📕 Paper: https://arxiv.org/abs/2306.17108v1
📌 Project: https://www.manim.community/
https://t.me/DataScienceTTransfer Learning for Natural Language Processing (2021)
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Repost from Data Science Books
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𝗙𝗲𝘄 𝘄𝗲𝗲𝗸𝘀 𝗮𝗴𝗼 𝐈 𝐰𝐚𝐬 𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐭𝐨 𝐭𝐡𝐢𝐬 𝗴𝗿𝗲𝗮𝘁 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐛𝐲 𝐚 𝐟𝐫𝐢𝐞𝐧𝐝 𝐨𝐧𝐥𝐢𝐧𝐞.𝗔𝘁 𝗳𝗶𝗿𝘀𝘁 𝐈 𝐭𝐡𝐨𝐮𝐠𝐡𝐭 𝐢𝐭 𝐰𝐚𝐬 𝐚 𝐬𝐜𝐚𝐦 𝐜𝐨𝐦𝐩𝐚𝐧𝐲....𝐛𝐮𝐭 𝐈 𝐰𝐚𝐬 𝐦𝐨𝐯𝐞𝐝 𝐭𝐨 𝗜𝗻𝘃𝗲𝘀𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗮𝗻𝗱 𝗶𝘁 𝗰𝗮𝗺𝗲 𝗼𝘂𝘁 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹, 𝘁𝗼𝗱𝗮𝘆 𝗜'𝗺 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝘆 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗜 𝘁𝗼𝗼𝗸.
𝗔𝗹𝗹 𝘁𝗵𝗮𝗻𝗸𝘀 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗴𝗿𝗲𝗮𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗳𝗼𝗿 𝘄𝗼𝗿𝗸 𝘄𝗲𝗹𝗹 𝗱𝗼𝗻𝗲.
𝗖𝗹𝗶𝗰𝗸 𝗮𝗻𝗱 𝘀𝘁𝗮𝗿𝘁 𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝘁𝗵𝗶𝘀 𝗴𝗿𝗲𝗮𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝘁𝗼𝗱𝗮𝘆.
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http://t.me/joinchat/3pbjWkYx80JhOTc0
t.me/joinchat/3pbjWkYx80JhOTc0
