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free-data-science-resources

[Data Science Free Resources] This repository collects 50 of free resources for Data Science. 📊 Uncover insights from data with our Data Science Lab repository! Offering a comprehensive collection of free resources and an interactive online Playground, this is your research center for mastering d...
https://github.com/getvmio/free-data-science-resources

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Resources
- Data Science Tutorials - world problem-solving. Become a proficient data scientist. |
- Machine Learning for Data Science
- Machine Learning Specialization
- Data Cleaning - world, messy data with techniques for handling missing values, scaling, and more. Ideal for data science journey. |
- Python for Data Science, AI & Development
- Learn Data Science - technical learners. |
- Introduction to Data Science in Python - relevant skills with hands-on projects in this intermediate-level course from the University of Michigan. |
- Data Visualization - on exercises and step-by-step tutorials for beginners and experts. |
- Python Data Science Handbook
- The Julia Express
- JavaScript for Data Science
- A First Encounter with Machine Learning
- A Comprehensive Guide to Machine Learning
- Mining of Massive Datasets - stream processing, and graph analysis. |
- High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications - dimensional data analysis, covering real-world applications in medical imaging, computer vision, and more. Valuable resource for researchers and practitioners. |
- Machine Learning
- Text Mining and Analytics - world case studies. Taught by a renowned expert in the field. |
- Data Mining: Learning From Large Datasets - on experience with real-world datasets. |
- Information Retrieval - on experience in building and evaluating information retrieval systems. |
- Hands-On Data Visualization - to-learn tools. |
- Fundamentals of Data Visualization
- Foundations of Data Science
- Data Mining Concepts and Techniques
- A Programmers Guide to Data Mining - friendly introduction for programmers with hands-on exercises and Python code. |
- Machine Learning For Dummies, IBM Limited Edition
- Getting Started with Artificial Intelligence , 2nd Edition - world examples. |
- Data Mining and Machine Learning - on experience with WEKA and real-world datasets. |
- Statistical Aspects of Data Mining - on exercises and real-world datasets. Taught by experienced Google instructors. |
- Information Retrieval
- Data Mining - scale data mining and machine learning techniques using Spark. Gain practical skills for processing massive datasets at Stanford University. |
- Data Mining
- Data Mining Course - world data analysis projects. |
- Data Mining
- Data Mining Course
- Statistical Machine Learning
- Foundations of Machine Learning Boot Camp
- Foundations of Machine Learning
- CS 156 - depth. |
- Introduction to Machine Learning - on experience, and exposure to cutting-edge research in this highly recommended course at Carnegie Mellon University. |
- Machine Learning - on experimentation. |
- Machine Learning
- Introduction to Machine Learning - on experience with real-world datasets, and a verified certificate upon completion. |
- Statistical Learning Theory
- Statistical Inference in Big Data - on demonstrations for practical learning. |
- Computational Thinking & Data Science - solving. Suitable for beginners and experienced learners. |
- Data Science for Dynamical Systems
- Introduction to Machine Learning - on projects and experienced faculty. Ideal for students interested in data science and AI. |
- Machine Learning
- Classification
- Introduction to Machine Learning - on exercises and real-world applications. |
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