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Machine Learning

@machinelearning9

Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

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Showing posts older than #5415 · Back to latest

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Post #5414 1.47K
📌 Why SaaS Product Management Is the Best Domain for Data-Driven Professionals in 2026

🗂 Category: PRODUCT MANAGEMENT

🕒 Date: 2026-01-22 | ⏱️ Read time: 14 min read

How I use analytics, automation, and AI to build better SaaS

#DataScience #AI #Python
Post #5413 1.5K
📌 Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-22 | ⏱️ Read time: 13 min read

How to evaluate goal-oriented content designed to build engagement and deliver business results, and why…

#DataScience #AI #Python
Post #5412 1.55K
📌 A Case for the T-statistic

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-21 | ⏱️ Read time: 21 min read

And how it compares to the run-of-the-mill z-score

#DataScience #AI #Python
  • ❤ 1
Post #5411 1.44K
Guide to AI Coding Agents & Assistants: How to Choose the Right One

There are now so many AI tools for coding that it can be confusing to know which one to pick. Some act as simple helpers (Assistant), while others can do the work for you (Agent). This guide breaks down the top AI coding tools that you should be aware of. We will look at what they do, who they are for, and how much they cost.

Read: https://habr.com/en/articles/979402/

https://t.me/DataScienceM
Post #5410 1.39K
📌 Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-01-21 | ⏱️ Read time: 8 min read

How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird…

#DataScience #AI #Python
Post #5409 1.48K
📌 If You Want to Become a Data Scientist in 2026, Do This

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-21 | ⏱️ Read time: 10 min read

Learn from my mistakes and fast track your data science career

#DataScience #AI #Python
  • ❤ 1
Post #5408 1.34K
📌 Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-21 | ⏱️ Read time: 11 min read

Google Trends is one of the most widely used tools for analysing human behaviour at…

#DataScience #AI #Python
Post #5407 1.35K

Forwarded from Github Top Repositories

🔥 Trending Repository: Data-Science-For-Beginners

📝 Description: 10 Weeks, 20 Lessons, Data Science for All!

🔗 Repository URL: https://github.com/microsoft/Data-Science-For-Beginners

📖 Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme

📊 Statistics:
🌟 Stars: 31.9K stars
👀 Watchers: 513
🍴 Forks: 6.8K forks

💻 Programming Languages: Jupyter Notebook

🏷️ Related Topics:
#python #data_science #pandas #data_visualization #data_analysis #microsoft_for_beginners


==================================
🧠 By: https://t.me/DataScienceM
  • ❤ 4
Post #5405 1.49K
📌 How to Perform Large Code Refactors in Cursor

🗂 Category: AGENTIC AI

🕒 Date: 2026-01-20 | ⏱️ Read time: 10 min read

Learn how to perform code refactoring with LLMs

#DataScience #AI #Python
  • ❤ 1
Post #5404 1.51K
📌 Does Calendar-Based Time-Intelligence Change Custom Logic?

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-20 | ⏱️ Read time: 8 min read

Let’s look at calculating the moving average over time

#DataScience #AI #Python
Post #5403 1.59K
📌 Why Package Installs Are Slow (And How to Fix It)

🗂 Category: DATA ENGINEERING

🕒 Date: 2026-01-20 | ⏱️ Read time: 7 min read

How sharded indexing patterns solve a scaling problem in package management

#DataScience #AI #Python
Post #5402 1.6K
📌 You Probably Don’t Need a Vector Database for Your RAG — Yet

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-20 | ⏱️ Read time: 14 min read

Numpy or SciKit-Learn might meet all your retrieval needs

#DataScience #AI #Python
Post #5400 1.65K
📌 Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-19 | ⏱️ Read time: 11 min read

Why modeling SKUs as a network reveals what traditional forecasts miss

#DataScience #AI #Python
Post #5399 1.59K
📌 Using Local LLMs to Discover High-Performance Algorithms

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-19 | ⏱️ Read time: 10 min read

How I used open-source models to explore new frontiers in efficient code generation, using my…

#DataScience #AI #Python
Post #5398 1.56K
📌 Bridging the Gap Between Research and Readability with Marco Hening Tallarico

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-01-19 | ⏱️ Read time: 6 min read

Diluting complex research, spotting silent data leaks, and why the best way to learn is…

#DataScience #AI #Python
Post #5397 1.71K
📌 Why Healthcare Leads in Knowledge Graphs

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-18 | ⏱️ Read time: 9 min read

How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure

#DataScience #AI #Python
Post #5395 1.74K
📌 The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2026-01-18 | ⏱️ Read time: 14 min read

How to use n8n with multimodal AI and optimisation tools to help companies with low…

#DataScience #AI #Python
  • ❤ 1
  • 🤩 1
Post #5394 1.62K

Forwarded from Machine Learning with Python

Best GitHub repositories to learn AI from scratch in 2026:


1. Andrej Karpathy
https://github.com/karpathy/nn-zero-to-hero

2. Hugging Face Transformers
https://github.com/huggingface/transformers

3. FastAI/fastbook
https://github.com/fastai/fastbook

4. Made-With-ML
https://github.com/GokuMohandas/Made-With-ML

5. ML System Design
https://github.com/chiphuyen/machine-learning-systems-design

6. Awesome Generative AI guide
https://github.com/aishwaryanr/awesome-generative-ai-guide

7. Dive into Deep Learning
https://github.com/d2l-ai/d2l-en

🪞 @codeprogrammer Like & Share
  • ❤ 8
  • 🔥 1
Post #5392 1.91K
📌 A Geometric Method to Spot Hallucinations Without an LLM Judge

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-17 | ⏱️ Read time: 7 min read

Imagine a flock of birds in flight. There’s no leader. No central command. Each bird…

#DataScience #AI #Python
  • ❤ 2
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