π EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas
π Category: DATA SCIENCE
π Date: 2026-01-01 | β±οΈ Read time: 13 min read
How to build, score, and interpret RFM segments step by step
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-01 | β±οΈ Read time: 13 min read
How to build, score, and interpret RFM segments step by step
#DataScience #AI #Python
Forwarded from Machine Learning with Python
Harvard has made its textbook on ML systems publicly available. It's extremely practical: not just about how to train models, but how to build production systems around them - what really matters.
The topics there are really top-notch:
> Building autograd, optimizers, attention, and mini-PyTorch from scratch to understand how the framework is structured internally. (This is really awesome)
> Basic things about DL: batches, computational accuracy, model architectures, and training
> Optimizing ML performance, hardware acceleration, benchmarking, and efficiency
So this isn't just an introductory course on ML, but a complete cycle from start to practical application. You can already read the book and view the code for free. For 2025, this is one of the strongest textbooks to have been released, so it's best not to miss out.
The repository is here, with a link to the book insideπ
π @codeprogrammer
The topics there are really top-notch:
> Building autograd, optimizers, attention, and mini-PyTorch from scratch to understand how the framework is structured internally. (This is really awesome)
> Basic things about DL: batches, computational accuracy, model architectures, and training
> Optimizing ML performance, hardware acceleration, benchmarking, and efficiency
So this isn't just an introductory course on ML, but a complete cycle from start to practical application. You can already read the book and view the code for free. For 2025, this is one of the strongest textbooks to have been released, so it's best not to miss out.
The repository is here, with a link to the book inside
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π Deep Reinforcement Learning: The Actor-Critic Method
π Category: REINFORCEMENT LEARNING
π Date: 2026-01-01 | β±οΈ Read time: 19 min read
Robot friends collaborate to learn to fly a drone
#DataScience #AI #Python
π Category: REINFORCEMENT LEARNING
π Date: 2026-01-01 | β±οΈ Read time: 19 min read
Robot friends collaborate to learn to fly a drone
#DataScience #AI #Python
Cheat sheet for Python for Data Science: covers basic Python syntax (variables, data types, operations, strings), working with lists, NumPy arrays, indexing and slicing, main methods and functions, as well as importing libraries for data analysis
https://t.me/DataScienceM
https://t.me/DataScienceM
β€2
π Drift Detection in Robust Machine Learning Systems
π Category: MACHINE LEARNING
π Date: 2026-01-02 | β±οΈ Read time: 18 min read
A prerequisite for long-term success of machine learning systems
#DataScience #AI #Python
π Category: MACHINE LEARNING
π Date: 2026-01-02 | β±οΈ Read time: 18 min read
A prerequisite for long-term success of machine learning systems
#DataScience #AI #Python
β€2
π Off-Beat Careers That Are the Future Of Data
π Category: DATA SCIENCE
π Date: 2026-01-02 | β±οΈ Read time: 8 min read
The unconventional career paths you need to explore
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-02 | β±οΈ Read time: 8 min read
The unconventional career paths you need to explore
#DataScience #AI #Python
π The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
π Category: DATA SCIENCE
π Date: 2026-01-02 | β±οΈ Read time: 7 min read
What happens when your clear dashboard meets stakeholders who want everything on one screen
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-02 | β±οΈ Read time: 7 min read
What happens when your clear dashboard meets stakeholders who want everything on one screen
#DataScience #AI #Python
β€1
Forwarded from Machine Learning with Python
All assignments for the #Stanford The Modern Software Developer course are now available online.
This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development.
Enjoy your studies! βοΈ
https://github.com/mihail911/modern-software-dev-assignments
https://t.me/CodeProgrammer
This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development.
Enjoy your studies! βοΈ
https://github.com/mihail911/modern-software-dev-assignments
https://t.me/CodeProgrammer
β€1
π Optimizing Data Transfer in AI/ML Workloads
π Category: DEEP LEARNING
π Date: 2026-01-03 | β±οΈ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the helpβ¦
#DataScience #AI #Python
π Category: DEEP LEARNING
π Date: 2026-01-03 | β±οΈ Read time: 16 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the helpβ¦
#DataScience #AI #Python
β€3
π How to Keep MCPs Useful in Agentic Pipelines
π Category: AGENTIC AI
π Date: 2026-01-03 | β±οΈ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
π Category: AGENTIC AI
π Date: 2026-01-03 | β±οΈ Read time: 10 min read
Check the tools your LLM uses before replacing it with just a more powerful model
#DataScience #AI #Python
β€4π1
A convenient cheat sheet for those who work with data analysis and ML.
Here are collected the main functions for:
βΆοΈ Creating and modifying arrays;βΆοΈ Mathematical operations;βΆοΈ Working with matrices and vectors;βΆοΈ Sorting and searching for values.
Save it for yourself β it will come in handy when working with NumPy.
tags: #NumPy #Python
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π Prompt Engineering vs RAG for Editing Resumes
π Category: LLM APPLICATIONS
π Date: 2026-01-04 | β±οΈ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
π Category: LLM APPLICATIONS
π Date: 2026-01-04 | β±οΈ Read time: 12 min read
Running a code-free comparison in Azure
#DataScience #AI #Python
β€1
π How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models
π Category: DATA ANALYSIS
π Date: 2026-01-04 | β±οΈ Read time: 5 min read
It is common to have either planning data or the previous yearβs data displayed beyondβ¦
#DataScience #AI #Python
π Category: DATA ANALYSIS
π Date: 2026-01-04 | β±οΈ Read time: 5 min read
It is common to have either planning data or the previous yearβs data displayed beyondβ¦
#DataScience #AI #Python
nature papers: 1400$
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.me/m/-nTmpj5vYzNk
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
https://t.me/m/-nTmpj5vYzNk
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OnSpace Mobile App builder: Build AI Apps in minutes
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
βοΈ Create app or website by chatting with AI;
βοΈ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
βοΈ Download APK,AAB file, publish to AppStore.
βοΈ Add payments and monetize like in-app-purchase and Stripe.
βοΈ Functional login & signup.
βοΈ Database + dashboard in minutes.
βοΈ Full tutorial on YouTube and within 1 day customer service
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
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β€2
π Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
π° Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
π Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM
π§ Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
π― PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
πΎ Kaggle Data Hub
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
π§βπ Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC
π ML Research Hub
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
π¬ Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
π Python Arab| Ψ¨Ψ§ΩΨ«ΩΩ ΨΉΨ±Ψ¨Ω
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
π Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
πΊ Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
π Data Analytics
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
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π§ Learn Python Hub
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https://t.me/Python53
βοΈ Research Papers
Professional Academic Writing & Simulation Services
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Admin: @HusseinSheikho
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
https://t.me/Python53
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
ββββββββββββββββββ
Admin: @HusseinSheikho
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π Stop Blaming the Data: A Better Way to Handle Covariance Shift
π Category: DATA SCIENCE
π Date: 2026-01-05 | β±οΈ Read time: 9 min read
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting toβ¦
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-05 | β±οΈ Read time: 9 min read
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting toβ¦
#DataScience #AI #Python
β€1
π YOLOv1 Loss Function Walkthrough: Regression for All
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-05 | β±οΈ Read time: 26 min read
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-05 | β±οΈ Read time: 26 min read
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
#DataScience #AI #Python