Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
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Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 68 471 obunachidan iborat bo'lib, Taʼlim toifasida 2 400-o'rinni va Hindiston mintaqasida 4 598-o'rinni egallagan.
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“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 01 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
68 471
Obunachilar
-2424 soatlar
-947 kun
+1230 kun
Postlar arxiv
Repost from Machine Learning
📌 How to Build Effective Agentic Systems with LangGraph
🗂 Category: AGENTIC AI
🕒 Date: 2025-09-30 | ⏱️ Read time: 12 min read
Create AI workflows with agentic frameworks
Repost from Machine Learning with Python
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
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
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Repost from Machine Learning
📌 PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks
🗂 Category: DEEP LEARNING
🕒 Date: 2025-09-24 | ⏱️ Read time: 15 min read
Deep learning is shaping our world as we speak. In fact, it has been slowly…
Most of the time, you regret helping others in general, because not everyone appreciates your hard work or the effort it takes you to spread a piece of information, even if it's quoted
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Repost from Machine Learning
📌 Paper Walkthrough: Attention Is All You Need
🗂 Category: DEEP LEARNING
🕒 Date: 2024-11-03 | ⏱️ Read time: 46 min read
The complete guide to implementing a Transformer from scratch
Repost from Machine Learning
📌 Building a Convolutional Neural Network (CNNs) from Scratch
🗂 Category:
🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read
Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset
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💯 Use Kaggle like a pro with this method!
👨🏻💻 Never underestimate Kaggle! One of the best ways to start learning data science and ML is Kaggle. A place where theory turns into practice, beginners become professionals, and skills turn into value.
🎯 This roadmap is the key to practical use of this amazing platform:👇
⬅️ Step one: Strengthen your basic skills!
✏️ Start with Kaggle's short and free courses. Practical, focused, and suitable for beginners.
✅ Python ⬅️ Link
☑️ Introduction to Machine Learning ⬅️ Link
✔️ Introduction to Deep Learning ⬅️ Link
✔️ Introduction to SQL ⬅️ Link
✔️ Introduction to Game AI and RL ⬅️ Link
📝 Complete list of courses ⬅️Link
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⬅️ Step two: Apply what you’ve learned.
✏️ Learning alone is not enough; you have to solve problems! Kaggle competitions are the best place for this.
✅ Classification problem for beginners
☑️ Regression-based challenge
✔️ Fake news detection with NLP
✔️ Deep learning on image data with TPU
📝 Complete list of competitions ⬅️Link
https://t.me/CodeProgrammer 🌟
