Forwarded from Machine Learning with Python
👨🏻💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.
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https://t.me/CodeProgrammer
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Python Data Visualization: Create impactful visuals, animations and dashboards [EN]
What you will learn :
The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.
⚡ tags: #python #datascience
🖥 By: https://t.me/Python53
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What you will learn :
The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.
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Python_Data_Visualization_Create_impactful_visuals,_animations_and.rar
1.4 GB
Python Data Visualization: Create impactful visuals, animations and dashboards [EN]
⚡ tags: #python #datascience #ai
🖥 By: https://t.me/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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Forwarded from Machine Learning with Python
👩🏻💻 These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!
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Ex_Files_Data_Mining_Python_R.zip
1.5 MB
Data Science Foundations: Data Mining in Python
⚡ tags: #python #datascience
🖥 By: https://t.me/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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👨🏻💻 The new DeepLearning.AI course on Claude Code, a very advanced intelligent assistant for coding that works for you like a real agent.
https://t.me/Python53
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Data scientists are in high demand right now: there's just too much data to analyze.
In this course, Tatev and Vae teach #Python for #DataScience.
You'll be doing projects and exploring EDA, A/B testing, BI, and more.
https://t.me/Python53🌟
In this course, Tatev and Vae teach #Python for #DataScience.
You'll be doing projects and exploring EDA, A/B testing, BI, and more.
https://t.me/Python53
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Ex_Files_Python_for_Data_Science_Tips.zip
4.8 MB
🔅 Python for Data Science Tips, Tricks, and Techniques
📋 Topics: #DataScience, #Python
https://t.me/Python53
📋 Topics: #DataScience, #Python
https://t.me/Python53
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🔖 26 lectures on Deep Learning for free 🧠✨
The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. 🚀📚
A good option for getting started with neural networks and Data Science. 🤖📊
⛓️ Watch the playlist 👇
https://www.youtube.com/playlist?list=PLgPbN3w-ia_PeT1_c5jiLW3RJdR7853b9
#DeepLearning #DataScience #NeuralNetworks #AI #MachineLearning #Tech
The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. 🚀📚
A good option for getting started with neural networks and Data Science. 🤖📊
⛓️ Watch the playlist 👇
https://www.youtube.com/playlist?list=PLgPbN3w-ia_PeT1_c5jiLW3RJdR7853b9
#DeepLearning #DataScience #NeuralNetworks #AI #MachineLearning #Tech
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10 Best Advanced Machine Learning Courses You Must Know in 2026 🤖📚
Are you looking for the Best Advanced Machine Learning Courses?… If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. 🧠💡
Link: https://www.mltut.com/best-advanced-machine-learning-courses/ 🔗
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Forwarded from Machine Learning with Python
A new collection of free courses has been added:
🔗 https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. 📚
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. 🧠
What's inside:
• Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
• A table with lectures, descriptions, videos, notes, and authors
• Links to the original lectures and accompanying notes
• WIP markers for incomplete materials
• Instructions for contributors on adding and improving notes
The idea was appreciated. 👍
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. 🗺️
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
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🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
🔗 https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. 📚
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. 🧠
What's inside:
• Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
• A table with lectures, descriptions, videos, notes, and authors
• Links to the original lectures and accompanying notes
• WIP markers for incomplete materials
• Instructions for contributors on adding and improving notes
The idea was appreciated. 👍
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. 🗺️
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - dair-ai/ML-Course-Notes: 🎓 Sharing machine learning course / lecture notes.
🎓 Sharing machine learning course / lecture notes. - dair-ai/ML-Course-Notes
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