Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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πŸ”– The book that paved the way for me to "data science"!

πŸ‘¨πŸ»β€πŸ’» "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!

βͺ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction...

βœ”οΈ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective!

✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible.

πŸ’Έ A great start for anyone looking to learn data science with Python!πŸ‘‡

β”Œ πŸ³οΈβ€πŸŒˆ Intro to Data Science with Python
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πŸ“„ E-book
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🐱 GitHub-Repos

#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 βœ…
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Pandas Introduction to Advanced.pdf
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πŸ“„ "Pandas Introduction to Advanced" booklet

πŸ‘¨πŸ»β€πŸ’» 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.

βœ”οΈ One of the most useful and interesting combinations is using #Pandas with #AWS Lambda, which can be very useful in real projects.

#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 βœ…
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πŸ”— Machine Learning from Scratch by Danny Friedman

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 practicesβ€”such as feature engineering or balancing response variablesβ€”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 βœ…
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πŸ€–πŸ§  Wren AI: Transforming Business Intelligence with Generative AI

πŸ—“οΈ 28 Oct 2025
πŸ“š AI News & Trends

In the evolving world of data and analytics, one thing is certain β€” 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
πŸ“Œ What Building My First Dashboard Taught Me About Data Storytelling

πŸ—‚ Category: DATA SCIENCE

πŸ•’ 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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πŸ“Œ Data Culture Is the Symptom, Not the Solution

πŸ—‚ Category: DATA SCIENCE

πŸ•’ 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