Data Science Machine Learning Data Analysis
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1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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📚 Become a professional data scientist with these 17 resources!



1️⃣ Python libraries for machine learning

◀️ Introducing the best Python tools and packages for building ML models.



2️⃣ Deep Learning Interactive Book

◀️ Learn deep learning concepts by combining text, math, code, and images.



3️⃣ Anthology of Data Science Learning Resources

◀️ The best courses, books, and tools for learning data science.



4️⃣ Implementing algorithms from scratch

◀️ Coding popular ML algorithms from scratch



5️⃣ Machine Learning Interview Guide

◀️ Fully prepared for job interviews



6️⃣ Real-world machine learning projects

◀️ Learning how to build and deploy models.



7️⃣ Designing machine learning systems

◀️ How to design a scalable and stable ML system.



8️⃣ Machine Learning Mathematics

◀️ Basic mathematical concepts necessary to understand machine learning.



9️⃣ Introduction to Statistical Learning

◀️ Learn algorithms with practical examples.



1️⃣ Machine learning with a probabilistic approach

◀️ Better understanding modeling and uncertainty with a statistical perspective.



1️⃣ UBC Machine Learning

◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,



1️⃣ Deep Learning with Andrew Ng

◀️ A strong start in the world of neural networks, CNNs and RNNs.



1️⃣ Linear Algebra with 3Blue1Brown

◀️ Intuitive and visual teaching of linear algebra concepts.



🔴 Machine Learning Course

◀️ A combination of theory and practical training to strengthen ML skills.



1️⃣ Mathematical Optimization with Python

◀️ You will learn the basic concepts of optimization with Python code.



1️⃣ Explainable models in machine learning

◀️ Making complex models understandable.



⚫️ Data Analysis with Python

◀️ Data analysis skills using Pandas and NumPy libraries.


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😀 Introduction to Machine Learning – Laurent Younes

Looking for a clear and concise introduction to machine learning? This book by Laurent Younes provides a solid foundation in ML concepts, from theory to practical applications.

Perfect for students, researchers, and enthusiasts aiming to build a strong understanding of the core principles behind modern machine learning.

📄 Read the Book (PDF)
🔗 Shared via @DataScinceM

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