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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.
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Machine Learning
39.3K subscribers
Machine Learning
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3 Simple Statistical Methods for Outlier Detection
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Category: DATA SCIENCE
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Date: 2024-06-18 |
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Read time: 6 min read
If it works, keep it simple
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Creating an Assistant with OpenAI Assistant API and Streamlit
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Category: MACHINE LEARNING
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Date: 2024-06-18 |
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Read time: 7 min read
A step-by-step guide
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Let’s Revisit Case-When in Different Libraries Including the New Player: Pandas
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Category: DATA SCIENCE
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Date: 2024-06-18 |
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Read time: 6 min read
How to create conditional columns with different tools.
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AI Agent Capabilities Engineering
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Category: CHATGPT
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Date: 2024-06-18 |
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Read time: 13 min read
Introducing a high-level capabilities engineering framework for AI Agents
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Managing Pivot Table and Excel Charts with VBA
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Category: DATA SCIENCE
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Date: 2024-06-18 |
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Read time: 10 min read
Save precious hours by automating working with pivot tables and charts using VBA
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Foundation Models in Graph & Geometric Deep Learning
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Category:
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Date: 2024-06-18 |
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Read time: 28 min read
In this post, we argue that the era of Graph FMs has already begun and…
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Learning Triton One Kernel at a Time: Matrix Multiplication
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Category: MACHINE LEARNING
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Date: 2025-10-14 |
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Read time: 14 min read
Tiled GEMM, GPU memory, coalescing, and much more!
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Building A Successful Relationship With Stakeholders
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Category: DATA SCIENCE
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Date: 2025-10-14 |
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Read time: 12 min read
Show your value by moving beyond the technical
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Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2025-10-14 |
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Read time: 7 min read
Learn about the limitations of AI in analytics through the example of bearing vibration data…
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Human Won’t Replace Python
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Category: PROGRAMMING
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Date: 2025-10-14 |
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Read time: 23 min read
Why vibe-coding is not a step up from “classic” coding — and why it matters
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Incorporate an LLM Chatbot into Your Web Application with OpenAI, Python, and Shiny
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Category:
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Date: 2024-06-18 |
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Read time: 8 min read
Step-by-Step Integration of AI Chatbots into Shiny for Python Applications: From API Setup to User…
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Nailing the Machine Learning Design Interview
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Category: MACHINE LEARNING
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Date: 2024-06-18 |
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Read time: 9 min read
Tips and tricks for FAANG design interviews
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How to Find and Solve Valuable Generative AI Use Cases
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Category: PRODUCT MANAGEMENT
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Date: 2024-06-18 |
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Read time: 7 min read
80% of AI projects fail due to poor use cases or technical knowledge. Gen AI…
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PySpark Explained: The explode and collect_list Functions
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Category: DATA ENGINEERING
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Date: 2024-06-18 |
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Read time: 9 min read
Two useful functions to nest and un-nest data sets in PySpark
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A Proposed Perfect Package Prototype for Python Projects
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Category: PROGRAMMING
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Date: 2024-06-18 |
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Read time: 17 min read
How to structure your Python package projects to ensure efficiency, effectiveness and future-proofing
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8 Years in Data: What I Wish I’d Known from the Start
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Category: CAREER ADVICE
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Date: 2024-06-18 |
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Read time: 5 min read
And 5 key takeaways for aspiring data professionals
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Get started with SQLite3 in Python Creating Tables & Fetching Rows
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Category: SQL
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Date: 2024-06-18 |
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Read time: 12 min read
Learn to use SQLite – The most used DBMS in the world
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Chart Wars – Stacked Bar Chart vs. Heatmap
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Category: DATA VISUALIZATION
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Date: 2024-06-18 |
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Read time: 6 min read
The winner is obvious
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Statistically Confirm Your -Comparing Pandas and Polars with 1 Million Rows of Data
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Category: DATA SCIENCE
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Date: 2024-06-18 |
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Read time: 15 min read
Using the Independent samples t-test and Welch’s t-test to compare scores in benchmarking.
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The Important Role of Memory in Agentic AI
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Category: ARTIFICIAL INTELLIGENCE
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Date: 2024-06-18 |
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Read time: 6 min read
Memory will be a critical component that dramatically improves the performance of AI systems -…
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Data Privacy in AI Development: Data Localization
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Category: DATA ENGINEERING
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Date: 2024-06-18 |
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Read time: 14 min read
Why should you care where your data lives?
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