From 76bc9f673245d58aaf10cde06333534f8d4a2d69 Mon Sep 17 00:00:00 2001 From: chaanakyaaM Date: Thu, 6 Jun 2024 18:17:51 +0530 Subject: [PATCH] free books for data science added --- Data Science/readme.md | 36 +++++++++++++++++++++--- Programming Languages/React JS/readme.md | 2 +- 2 files changed, 33 insertions(+), 5 deletions(-) diff --git a/Data Science/readme.md b/Data Science/readme.md index 42859dd6..b62b99c4 100644 --- a/Data Science/readme.md +++ b/Data Science/readme.md @@ -11,6 +11,8 @@ Data science is the field that utilizes scientific methods, algorithms, and syst - [Free Cources](#free-courses)
- [Paid Courses](#paid-courses)
- [Books](#books)
+ - [Free books](#free-books) + - [Paid Books](#paid-books) - [YouTube Channels](#youtube-channels)
- [YouTube Playlists](#youtube-playlists)
- [Resources for Finding Datasets](#resources-for-finding-datasets)
@@ -208,13 +210,39 @@ Data science is the field that utilizes scientific methods, algorithms, and syst > You can refer to these books on Data Science. They are listed below: +#### Free books + + + + + + + + + + + + + + + + + + + + + +
Resource NameDescription
Python for Data Everyone This books is a comprehensive guide to learning Python and basics of its libraries like Pandas, NumPy, Matplotlib and more.
Hands-On Machine Learning with Scikit-Learn and TensorFlowThe Hands-On Machine Learning with Scikit-Learn and TensorFlow is a popular book by Aurélien Géron that covers various machine learning concepts and practical implementations using Scikit-Learn and TensorFlow.
Python data science handbook"Python Data Science Handbook" by Jake VanderPlas. It's a comprehensive resource covering various aspects of data science using Python programming language and its associated libraries like NumPy, pandas, Matplotlib, and scikit-learn.
R for Data science"R for Data Science" is a book authored by Hadley Wickham and Garrett Grolemund. It's a comprehensive guide that introduces readers to data science using the R programming language. The book covers various aspects of the data science workflow, including data manipulation, visualization, modeling, communication and more.
+ +#### Paid books + - + @@ -222,15 +250,15 @@ Data science is the field that utilizes scientific methods, algorithms, and syst - + - + - +
Resource Name Description
Python for Data Analysis" by Wes McKinney Python for Data Analysis by Wes McKinney A comprehensive guide to data analysis using Python and its libraries like Pandas, NumPy, and Matplotlib.
Covers practical machine-learning techniques using popular Python libraries like Scikit-Learn, Keras, and TensorFlow.
Data Science for Business" by Foster Provost and Tom Fawcett Data Science for Business by Foster Provost and Tom Fawcett Provides insights into the practical applications of data science in business contexts, focusing on data-driven decision-making.
An Introduction to Statistical Learning" by Gareth James et al An Introduction to Statistical Learning by Gareth James et al A beginner-friendly introduction to machine learning concepts and techniques, with practical examples in R.
Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville A comprehensive textbook covering deep learning concepts and methods, suitable for both beginners and advanced practitioners.
diff --git a/Programming Languages/React JS/readme.md b/Programming Languages/React JS/readme.md index 5a6b2184..f96a38c6 100644 --- a/Programming Languages/React JS/readme.md +++ b/Programming Languages/React JS/readme.md @@ -60,7 +60,7 @@ Whether you're a beginner looking to get started with React.js or an experienced Roadmap for React - This Youtube playlist by Edureka is not only a playlist but a collection courses for learning improtant data science concepts like statistics, Data analysis, Data visualization, and more.If you are a beginner, this course will take you to from beginners level to advance level. + This roadmap gives you a clear learning path for react from basic to advance level.