Forwarded from Machine Learning with Python
Machine Learning Glossary
Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
Link: https://ml-cheatsheet.readthedocs.io/en/latest/index.html
Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
Link: https://ml-cheatsheet.readthedocs.io/en/latest/index.html
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer
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Forwarded from Machine Learning with Python
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The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.
The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.
The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available
.
All slides, #code and additional materials can be found at the link provided.
📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
Numpy @CodeProgrammer.pdf
813.2 KB
👨🏻💻 For the past few days, I've been busy preparing this comprehensive tutorial on the NumPy library for data science, trying to cover all the tips and tricks of this library.
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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This real-world project tutorial covers zero-shot and few-shot prompting, delimiters, numbered steps, role prompts, chain-of-thought prompting, and more. Improve your LLM-assisted projects today.
Link: https://realpython.com/practical-prompt-engineering/
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
👨🏻💻 "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!
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#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
course lecture on building Transformers from first principles:
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0
The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0
The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
Pandas Introduction to Advanced.pdf
854.8 KB
👨🏻💻 You can't attend a #datascience interview and not be asked about Pandas! But you don't have to memorize all its methods and functions! With this booklet, you'll learn everything you need.
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
Find these FREE AI Courses here 👇
https://www.mltut.com/best-resources-to-learn-artificial-intelligence/
https://www.mltut.com/best-resources-to-learn-artificial-intelligence/
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
Exercises in Machine Learning
This book contains 75+ exercises
Download, read, and practice:
arxiv.org/pdf/2206.13446
GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises
This book contains 75+ exercises
Download, read, and practice:
arxiv.org/pdf/2206.13446
GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer ✅
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Forwarded from Machine Learning with Python
Linear Algebra
The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.
Completely FREE.
Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf
The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.
Completely FREE.
Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/
open-source textbook focuses on how to design and implement AI systems effectively
open-source textbook focuses on how to design and implement AI systems effectively
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/DataScienceM✅
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Forwarded from Machine Learning with Python
This book is for readers looking to learn new #machinelearning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different #algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practices—such as feature engineering or balancing response variables—or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
https://dafriedman97.github.io/mlbook/content/introduction.html
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Forwarded from Machine Learning with Python
"Introduction to Probability for Data Science"
One of the best books on #Probability. Available FREE.
Download the book:
probability4datascience.com/download.html
One of the best books on #Probability. Available FREE.
Download the book:
probability4datascience.com/download.html
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.iss.one/CodeProgrammer✅
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Python Commands for Data Cleaning
#Python #DataCleaning #DataAnalytics #DataScientists #MachineLearning #ArtificialIntelligence #DataAnalysis
https://t.iss.one/DataScienceM⭐
#Python #DataCleaning #DataAnalytics #DataScientists #MachineLearning #ArtificialIntelligence #DataAnalysis
https://t.iss.one/DataScienceM
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🤖🧠 Wren AI: Transforming Business Intelligence with Generative AI
🗓️ 28 Oct 2025
📚 AI News & Trends
In the evolving world of data and analytics, one thing is certain — the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...
#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights
🗓️ 28 Oct 2025
📚 AI News & Trends
In the evolving world of data and analytics, one thing is certain — the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...
#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights
📌 What Building My First Dashboard Taught Me About Data Storytelling
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-04 | ⏱️ Read time: 7 min read
The experience of building a first data dashboard offers a powerful lesson in data storytelling. The key takeaway is that prioritizing clarity over complexity is crucial for turning raw data into a compelling and understandable narrative. Effective dashboards don't just display metrics; they communicate insights by focusing on a clear story, ensuring the audience can easily grasp and act upon the information presented.
#DataStorytelling #DataVisualization #DashboardDesign #DataAnalytics
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-04 | ⏱️ Read time: 7 min read
The experience of building a first data dashboard offers a powerful lesson in data storytelling. The key takeaway is that prioritizing clarity over complexity is crucial for turning raw data into a compelling and understandable narrative. Effective dashboards don't just display metrics; they communicate insights by focusing on a clear story, ensuring the audience can easily grasp and act upon the information presented.
#DataStorytelling #DataVisualization #DashboardDesign #DataAnalytics
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📌 Data Culture Is the Symptom, Not the Solution
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-10 | ⏱️ Read time: 22 min read
Your data investments are failing, and the common advice to "build a better data culture" might be wrong. This article posits that a flawed data culture is not the root cause but a symptom of a more fundamental, often overlooked issue. To achieve real ROI from data initiatives, organizations must look beyond cultural fixes and address the hidden problems that truly undermine success.
#DataCulture #DataStrategy #DataAnalytics #DataROI
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-10 | ⏱️ Read time: 22 min read
Your data investments are failing, and the common advice to "build a better data culture" might be wrong. This article posits that a flawed data culture is not the root cause but a symptom of a more fundamental, often overlooked issue. To achieve real ROI from data initiatives, organizations must look beyond cultural fixes and address the hidden problems that truly undermine success.
#DataCulture #DataStrategy #DataAnalytics #DataROI
📌 Struggling with Data Science? 5 Common Beginner Mistakes
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-24 | ⏱️ Read time: 6 min read
New to data science? Accelerate your career growth by steering clear of common beginner pitfalls. The journey into data science is challenging, but understanding and avoiding five frequent mistakes can significantly streamline your learning curve and set you on a faster path to success. This guide highlights the key errors to watch out for as you build your skills and advance in the field.
#DataScience #MachineLearning #CareerAdvice #DataAnalytics
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-24 | ⏱️ Read time: 6 min read
New to data science? Accelerate your career growth by steering clear of common beginner pitfalls. The journey into data science is challenging, but understanding and avoiding five frequent mistakes can significantly streamline your learning curve and set you on a faster path to success. This guide highlights the key errors to watch out for as you build your skills and advance in the field.
#DataScience #MachineLearning #CareerAdvice #DataAnalytics
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📌 How to Implement Three Use Cases for the New Calendar-Based Time Intelligence
🗂 Category: POWER BI
🕒 Date: 2025-11-25 | ⏱️ Read time: 11 min read
Unlock advanced analytics with Power BI's new Calendar-based Time Intelligence, introduced in the September 2025 release. This guide explores three practical use cases, providing step-by-step implementation instructions to help you leverage this powerful new feature for more sophisticated date and time analysis in your reports.
#PowerBI #TimeIntelligence #DataAnalytics #BusinessIntelligence
🗂 Category: POWER BI
🕒 Date: 2025-11-25 | ⏱️ Read time: 11 min read
Unlock advanced analytics with Power BI's new Calendar-based Time Intelligence, introduced in the September 2025 release. This guide explores three practical use cases, providing step-by-step implementation instructions to help you leverage this powerful new feature for more sophisticated date and time analysis in your reports.
#PowerBI #TimeIntelligence #DataAnalytics #BusinessIntelligence
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📌 Metric Deception: When Your Best KPIs Hide Your Worst Failures
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-29 | ⏱️ Read time: 7 min read
Your best-performing KPIs could be hiding your worst failures. This article explores 'metric deception,' where trusted legacy metrics become misleading and mask underlying problems. The most dangerous KPIs aren't the ones that are obviously broken, but those that are trusted long after they've lost their strategic relevance. It's a critical reminder for leaders and data teams to continuously audit their metrics to ensure they drive correct business decisions and reflect true performance.
#KPI #DataAnalytics #BusinessIntelligence #Metrics #DataStrategy
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-29 | ⏱️ Read time: 7 min read
Your best-performing KPIs could be hiding your worst failures. This article explores 'metric deception,' where trusted legacy metrics become misleading and mask underlying problems. The most dangerous KPIs aren't the ones that are obviously broken, but those that are trusted long after they've lost their strategic relevance. It's a critical reminder for leaders and data teams to continuously audit their metrics to ensure they drive correct business decisions and reflect true performance.
#KPI #DataAnalytics #BusinessIntelligence #Metrics #DataStrategy
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