📊 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 data analysis, visualization, and predictive modeling techniques.
| Index | Name | Category | Description |
|---|---|---|---|
| 1 | Data Science Tutorials | Technical Tutorials | Comprehensive data science course covering Python, statistics, machine learning, data engineering, and real-world problem-solving. Become a proficient data scientist. |
| 2 | Machine Learning for Data Science | University Courses | Explore key machine learning concepts and algorithms for data science, including dimensionality reduction, clustering, and probabilistic modeling. |
| 3 | Python for Data Science, AI & Development | Video Courses | Comprehensive guide to using Python for data science, artificial intelligence, and software development. Learn Python, access data, and earn a shareable career certificate. |
| 4 | Machine Learning Specialization | Video Courses | Foundational online program on machine learning and AI applications, taught by Andrew Ng of DeepLearning.AI and Stanford Online. |
| 5 | Learn Data Science | Video Courses | Dive into the creative and inclusive world of Data Science. Gain valuable insights through coding, statistics, and math. Accessible introduction for non-technical learners. |
| 6 | Introduction to Data Science in Python | Video Courses | Gain a foundational understanding of data science and develop job-relevant skills with hands-on projects in this intermediate-level course from the University of Michigan. |
| 7 | Data Visualization | Video Courses | Learn data visualization with Seaborn, line charts, bar charts, heatmaps, scatter plots, histograms, and more. Hands-on exercises and step-by-step tutorials for beginners and experts. |
| 8 | Data Cleaning | Video Courses | Master efficient workflows for cleaning real-world, messy data with techniques for handling missing values, scaling, and more. Ideal for data science journey. |
| 9 | Python Data Science Handbook | Technical Tutorials | Comprehensive guide to using Python for data science, covering data analysis, machine learning, and visualization with practical examples and tutorials. |
| 10 | The Julia Express | Technical Tutorials | Comprehensive guide to Julia programming for data science and scientific computing. Quick introduction, essential topics, and solid foundation for new and experienced users. |
| 11 | JavaScript for Data Science | Technical Tutorials | Comprehensive guide to using JavaScript for data science, covering data visualization, web development, and programming for data analysis. |
| 12 | A First Encounter with Machine Learning | Technical Tutorials | Explore fundamental machine learning concepts, algorithms, and applications in data science. Suitable for beginners interested in learning about this rapidly growing field. |
| 13 | A Comprehensive Guide to Machine Learning | Technical Tutorials | Detailed resource on machine learning, data science, and artificial intelligence. Authored by experienced experts, suitable for beginners and experienced learners. |
| 14 | Mining of Massive Datasets | Technical Tutorials | Comprehensive guide to data mining, machine learning, and analysis of massive datasets, including techniques for similarity search, data-stream processing, and graph analysis. |
| 15 | High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications | Technical Tutorials | Comprehensive exploration of high-dimensional data analysis, covering real-world applications in medical imaging, computer vision, and more. Valuable resource for researchers and practitioners. |
| 16 | Hands-On Data Visualization | Technical Tutorials | Comprehensive guide to data visualization techniques and best practices. Learn to design interactive charts and customized maps for your website using free and easy-to-learn tools. |
| 17 | Fundamentals of Data Visualization | Technical Tutorials | Comprehensive guide to understanding the principles and techniques of data visualization, covering design, perception, and communication of visual data. Practical insights and tools for creating effective visualizations. |
| 18 | Foundations of Data Science | Technical Tutorials | Dive into the core principles and techniques of data science with this comprehensive course by renowned experts. Gain a strong foundation in algorithms, machine learning, and more. |
| 19 | Data Mining Concepts and Techniques | Technical Tutorials | Comprehensive coverage of data mining concepts and techniques, including data preprocessing, classification, clustering, and association rule mining. Essential resource for students, researchers, and professionals in data mining, machine learning, and data analysis. |
| 20 | A Programmers Guide to Data Mining | Technical Tutorials | Comprehensive guide to data mining techniques, including recommendation systems, classification, and clustering. Beginner-friendly introduction for programmers with hands-on exercises and Python code. |
| 21 | Machine Learning For Dummies, IBM Limited Edition | Technical Tutorials | Comprehensive guide to machine learning and data science, suitable for beginners and experienced professionals. Authored by experts Daniel Kirsch and Judith Hurwitz. |
| 22 | Getting Started with Artificial Intelligence , 2nd Edition | Technical Tutorials | Comprehensive introduction to AI, covering machine learning and data science. Practical guide to building enterprise applications with real-world examples. |
| 23 | Text Mining and Analytics | University Courses | Comprehensive course on text mining and analytics, covering fundamental concepts, practical applications, and real-world case studies. Taught by a renowned expert in the field. |
| 24 | Data Mining: Learning From Large Datasets | University Courses | Comprehensive data mining course covering supervised and unsupervised learning, feature engineering, and model evaluation. Hands-on experience with real-world datasets. |
| 25 | Information Retrieval | University Courses | Comprehensive course covering the core concepts and techniques of information retrieval, including text processing, indexing, ranking, and evaluation. Hands-on experience in building and evaluating information retrieval systems. |
| 26 | Data Mining and Machine Learning | University Courses | Explore data mining and machine learning techniques with the CAP6673 course at Florida Atlantic University. Hands-on experience with WEKA and real-world datasets. |
| 27 | Statistical Aspects of Data Mining | University Courses | Comprehensive data mining course covering regression, classification, and clustering techniques. Hands-on exercises and real-world datasets. Taught by experienced Google instructors. |
| 28 | Information Retrieval | University Courses | Access course materials and lectures on information retrieval techniques and algorithms through the iTunes U platform. Recommended for students, researchers, and professionals. |
| 29 | Data Mining | University Courses | Explore large-scale data mining and machine learning techniques using Spark. Gain practical skills for processing massive datasets at Stanford University. |
| 30 | Data Mining Course | University Courses | Comprehensive data mining course covering statistical principles, similarity measures, clustering, classification, and real-world data analysis projects. |
| 31 | Data Mining | University Courses | Explore key data mining topics like similarity search, clustering, regression, and graph analysis in this comprehensive course at the University of Utah. |
| 32 | Data Mining | University Courses | Explore efficient algorithms and models for finding patterns in data sets. Covers topics like similarity search, clustering, and link analysis. Suitable for students with basic programming and probability knowledge. |
| 33 | Data Mining Course | University Courses | Comprehensive data mining course at the University of Washington, covering a wide range of techniques and algorithms, taught by an expert in the field. |
| 34 | Statistical Machine Learning | University Courses | Comprehensive course on statistical machine learning techniques like linear regression, logistic regression, decision trees, and more. Taught by an experienced instructor. |
| 35 | Foundations of Machine Learning Boot Camp | University Courses | Comprehensive online course providing a solid foundation in machine learning principles and techniques, developed by the renowned Berkeley Simons Institute. |
| 36 | Foundations of Machine Learning | University Courses | Comprehensive machine learning course covering a wide range of topics, designed to provide a deep understanding of fundamental concepts and techniques. |
| 37 | CS 156 | University Courses | Comprehensive machine learning course from Caltech's Feynman Prize winner, covering core concepts and techniques in-depth. |
| 38 | Introduction to Machine Learning | University Courses | Comprehensive coverage of machine learning algorithms and techniques, hands-on experience, and exposure to cutting-edge research in this highly recommended course at Carnegie Mellon University. |
| 39 | Machine Learning | University Courses | Comprehensive course covering a wide range of machine learning techniques, including classification, structured models, clustering, and recommender systems. Provides theoretical foundations and hands-on experimentation. |
| 40 | Machine Learning | University Courses | Dive into the fundamentals of machine learning with this comprehensive course from Cornell University. Explore supervised, unsupervised, and model selection techniques. |
| 41 | Introduction to Machine Learning | University Courses | Comprehensive coverage of machine learning fundamentals, hands-on experience with real-world datasets, and a verified certificate upon completion. |
| 42 | Statistical Learning Theory | University Courses | Comprehensive course on the fundamental principles and techniques of statistical learning theory, taught by renowned expert Joachim M. Buhmann at ETH Zurich. |
| 43 | Computational Thinking & Data Science | University Courses | Explore fundamental computer science and data science concepts with Python programming for data analysis and problem-solving. Suitable for beginners and experienced learners. |
| 44 | Data Science for Dynamical Systems | University Courses | Explore data science techniques for analyzing and controlling dynamic systems with this comprehensive course. Covers system identification, model predictive control, and more. |
| 45 | Introduction to Machine Learning | University Courses | Comprehensive coverage of machine learning algorithms and techniques. Hands-on projects and experienced faculty. Ideal for students interested in data science and AI. |
| 46 | Machine Learning | University Courses | Comprehensive introduction to machine learning, covering linear classifiers, gradient descent, and support vector machines. Taught by experts from UC Berkeley. |
| 47 | Statistical Inference in Big Data | University Courses | Comprehensive coverage of statistical inference techniques for big data analysis, lectures by renowned experts, and hands-on demonstrations for practical learning. |
| 48 | Machine Learning | University Courses | Comprehensive understanding of machine learning principles and techniques, taught by a renowned expert at the University of Waterloo. |
| 49 | Classification | University Courses | Comprehensive course on classification techniques, including logistic regression, decision trees, and support vector machines. Ideal for students interested in machine learning and data science. |
| 50 | Introduction to Machine Learning | University Courses | Comprehensive course on machine learning fundamentals, including supervised learning, probability, statistical estimation, and linear models. Hands-on exercises and real-world applications. |
- Free JavaScript Resources
- Free HTML Resources
- Free R Resources
- Free Java Resources
- Free Neural Networks Resources
- Free Natural Language Processing Resources
- Free Computer Science Resources
- Free React Resources
- Free Security Resources
- Free Node.js Resources
- Free PyTorch Resources
- Free Computer Architecture Resources
- Free Functional Programming Resources
- Free Operating System Resources
- Free Cryptography Resources
- Free Compiler Resources
- Free Blockchain Resources
- Free SQL Resources
- Free Python Resources
- Free Unix Resources
- Free Programming Resources
- Free Object-Oriented Programming Resources
- Free CSS Resources
- Free Machine Learning Resources
- Free Web Development Resources
- Free Shell Scripting Resources
- Free Rust Resources
- Free Haskell Resources
- Free Software Development Resources
- Free Git Resources
- Free Networking Resources
- Free Game Development Resources
- Free TensorFlow Resources
- Free Distributed Systems Resources
- Free Embedded Systems Resources
- Free DevOps Resources
- Free Docker Resources
- Free Robotics Resources
- Free Computer Vision Resources
- Free Deep Learning Resources
- Free Cloud Computing Resources
- Free Go Resources
- Free Data Structures Resources
- Free Control Systems Resources
- Free Artificial Intelligence Resources
- Free Data Analysis Resources
- Free Ruby Resources
- Free C++ Resources
- Free Bash Resources
- Free Cybersecurity Resources
- Free Algorithm Resources
- Free Database Resources
- Free C Resources
- Free Version Control Resources
- Free Linux Resources
- Free Computer Graphics Resources