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As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills.
Here, in the main tab and the download/links tab, there are some pages with spectacular examples of data visualization that can give you ideas.
Enjoy a new way to explore and evaluate on-device ML solutions.
Be the first to learn about Google’s latest developer solutions, products, and technology. Google I/O is open to everyone online.
A visual introduction to probability and statistics: 1. Basic Probability, 2. Compound Probability, 3. Probability Distributions, 4. Frequentist Inference, 5. Bayesian Inference, 6. Regression Analysis.
We want students and parents to have a better understanding of a field that is often unknown or misunderstood.
Learn to Code, With the world’s largest web developer site.
The Comprehensive R Archive Network – Download and Install R and Other related resources.
Browse packages and projects by clicking on a category below. Discover Anaconda’s top 500 most-downloaded packages.
Discover the best ways to use pack offers with Experiences. Experiences are curated bundles of pack partner products, GitHub tools, and other resources that are designed for you learn new skills and make the most out of the Student Developer Pack and your journey in Global Campus.
A free course offering the core concept of Calculus, with a visuals-first approach aimed at making you feel like you could have discovered the subject yourself.
A free course offering the core concept of linear algebra with a visuals-first approach.
TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.
Google glossaries: Fundamentals of machine learning, Decision forest, Clustering, and Full glossary.
Learn to build ML products with Google’s Machine Learning Courses.
Interested in Transformers, the deep learning model that has taken the world by storm? Want to have intimate discussions with researchers? If so, this course is for you! It’s not every day that you get to personally hear from and chat with the authors of the papers you read!
Learning Data Science is an introductory textbook for data science published by O’Reilly Media in 2023. It covers foundational skills in programming and statistics that encompass the data science lifecycle.
This is the website for the 2nd edition of “R for Data Science”. This book will teach you how to do data science with R.
