GitHub - Winged-Coders/Machine-Learning-Books-Colllection: Curated collection of essential books and learning resources for Machine Learning and Deep Learning. Covers fundamental concepts, algorithms, and practical applications in Python with frameworks like TensorFlow and PyTorch. Suitable for all levels, from beginners to advanced practitioners. Contributions welcome!

Mission & Philosophy

Our goal is simple: to provide clean, efficient, and well-explained implementations across multiple programming languages. Whether you are a student, a competitive programmer, or a professional looking to refresh your knowledge, this vault is here to help you learn, implement, and distribute.

This resource is free for everyone to use, learn from, and share. We firmly believe that foundational knowledge should be accessible to all.

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Name		Name	Last commit message	Last commit date
Latest commit History 175 Commits
Books		Books
Bishop - Pattern Recognition And Machine Learning - Springer 2006.pdf		Bishop - Pattern Recognition And Machine Learning - Springer 2006.pdf
Case-In-Point-7th-Edition1.pdf		Case-In-Point-7th-Edition1.pdf
Data Science For Dummies.pdf		Data Science For Dummies.pdf
Data Science for Business.pdf		Data Science for Business.pdf
Data Science from Scratch.pdf		Data Science from Scratch.pdf
Data Structures and Algorithms in Python [Goodrich, Tamassia & Goldwasser 2013-03-18].pdf		Data Structures and Algorithms in Python [Goodrich, Tamassia & Goldwasser 2013-03-18].pdf
Data-Visualization-E-book.pdf		Data-Visualization-E-book.pdf
Data_Science_Careers_Guide_Springboard_Final-1-1.pdf		Data_Science_Careers_Guide_Springboard_Final-1-1.pdf
Data_Science_for_Business.pdf		Data_Science_for_Business.pdf
Deep Learning with Keras by Antonio Gulli.pdf		Deep Learning with Keras by Antonio Gulli.pdf
Deep Learning with TensorFlow.pdf		Deep Learning with TensorFlow.pdf
Element of Statistics Learning.pdf		Element of Statistics Learning.pdf
Elements of Statistical Learning.pdf		Elements of Statistical Learning.pdf
Financial Signal Processing and Machine Learning.pdf		Financial Signal Processing and Machine Learning.pdf
Getting Started with TensorFlow.pdf		Getting Started with TensorFlow.pdf
Hands-On Data Science and Python Machine Learning.pdf		Hands-On Data Science and Python Machine Learning.pdf
Hands_On_Machine_Learning_with_Scikit_Le.pdf		Hands_On_Machine_Learning_with_Scikit_Le.pdf
Intoduction to Statistical Learning.pdf		Intoduction to Statistical Learning.pdf
Introduction to Probability.pdf		Introduction to Probability.pdf
Introduction to Statistical Learning.pdf		Introduction to Statistical Learning.pdf
Keras_Cheat_Sheet_Python.pdf		Keras_Cheat_Sheet_Python.pdf
Larry Wasserman_ALL OF Statistics.pdf		Larry Wasserman_ALL OF Statistics.pdf
Learning TensorFlow - Tom Hope, Yehezkel S. Resheff.pdf		Learning TensorFlow - Tom Hope, Yehezkel S. Resheff.pdf
Machine Learning Algorithms.pdf		Machine Learning Algorithms.pdf
Machine Learning for OpenCV.pdf		Machine Learning for OpenCV.pdf
Machine Learning for the Web.pdf		Machine Learning for the Web.pdf
Machine Learning in Action.pdf		Machine Learning in Action.pdf
Mastering Machine Learning with Scikit-learn.pdf		Mastering Machine Learning with Scikit-learn.pdf
Mastering Machine Learning with scikit-learn, 2nd Edition.pdf		Mastering Machine Learning with scikit-learn, 2nd Edition.pdf
Mastering Python for Data Science.pdf		Mastering Python for Data Science.pdf
Mining of massive datasets.pdf		Mining of massive datasets.pdf
Ng-Machine learning yearning.pdf		Ng-Machine learning yearning.pdf
PRML_Translation.pdf		PRML_Translation.pdf
Practical Data Science Cookbook_.pdf		Practical Data Science Cookbook_.pdf
Principles of Data Science.pdf		Principles of Data Science.pdf
Probability and Statistics for programmers.pdf		Probability and Statistics for programmers.pdf
Programming Interviews Exposed 3rd.pdf		Programming Interviews Exposed 3rd.pdf
Python Data Science Essentials - Second Edition.pdf		Python Data Science Essentials - Second Edition.pdf
Python Data Science Essentials.pdf		Python Data Science Essentials.pdf
Python4DataAnalysis.pdf		Python4DataAnalysis.pdf
PythonDataScienceHandbook.pdf		PythonDataScienceHandbook.pdf
Python_Deeper_Insights_into_Machine_Learning.pdf		Python_Deeper_Insights_into_Machine_Learning.pdf
Python_for_Data_Analysis.pdf		Python_for_Data_Analysis.pdf
Python_for_Finance.pdf		Python_for_Finance.pdf
README.md		README.md
SCHAUM's Outlines - Advanced Calculus, 3rd Edition_2010.pdf		SCHAUM's Outlines - Advanced Calculus, 3rd Edition_2010.pdf
Schaum's Outlines - Calculus, 5th Edition.pdf		Schaum's Outlines - Calculus, 5th Edition.pdf
Schaum's Outlines - Linear Algebra,Fourth Edition.pdf		Schaum's Outlines - Linear Algebra,Fourth Edition.pdf
Schaum's Outlines - Probability, Random Variables And Random Processes.pdf		Schaum's Outlines - Probability, Random Variables And Random Processes.pdf
Schaum's Outlines - Tensor Calculus.pdf		Schaum's Outlines - Tensor Calculus.pdf
StatisticsMachineLearningPythonDraft.pdf		StatisticsMachineLearningPythonDraft.pdf
Sutton Reinforcement Learning.pdf		Sutton Reinforcement Learning.pdf
The Art of Turning Data Into Product_1.pdf		The Art of Turning Data Into Product_1.pdf
The Art of Turning Data Into Product_2.pdf		The Art of Turning Data Into Product_2.pdf
The Data Science Handbook.pdf		The Data Science Handbook.pdf
The elements of statistical learning.pdf		The elements of statistical learning.pdf
The-elements-of-style.pdf		The-elements-of-style.pdf
Think_Like_a_Data_Scientist.pdf		Think_Like_a_Data_Scientist.pdf
Thinking with Data.pdf		Thinking with Data.pdf
Understanding Machine Learning from theory to algoritms.pdf		Understanding Machine Learning from theory to algoritms.pdf
building-data-science-teams.pdf		building-data-science-teams.pdf
conversationsondatascience.pdf		conversationsondatascience.pdf
data-driven.pdf		data-driven.pdf
deep_learning_book.pdf		deep_learning_book.pdf
effective-pandas.pdf		effective-pandas.pdf
mastering python regular expressions.pdf		mastering python regular expressions.pdf
python-data-visualization-cookbook-igor-milovanovic(www.ebook-dl.com).pdf		python-data-visualization-cookbook-igor-milovanovic(www.ebook-dl.com).pdf
pythonTipsDS.pdf		pythonTipsDS.pdf
rprogramming.pdf		rprogramming.pdf
storytelling-with-data-cole-nussbaumer-knaflic.pdf		storytelling-with-data-cole-nussbaumer-knaflic.pdf
thinkpython.pdf		thinkpython.pdf
tidy-data.pdf		tidy-data.pdf

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