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06 Visual Display/009 The right paradigm_ Maps.mp4 38.1 MB
06 Visual Display/008 The right paradigm_ Hierarchical data.mp4 36.3 MB
06 Visual Display/010 The right paradigm_ Creativity and innovation.mp4 32.2 MB
03 Information Hierarchy/004 Explore your data_ Visual exploration.mp4 31.9 MB
03 Information Hierarchy/006 Convert your data_ Indexes and ratios.mp4 31.4 MB
07 Interactivity/003 How to think interactively.mp4 25.5 MB
02 Big Idea/003 So what is data visualization_.mp4 25.0 MB
03 Information Hierarchy/001 _Explatory_.mp4 22.6 MB
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04 The Analog Process/001 Sketches and wireframes.mp4 17.9 MB
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12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
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55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
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12. Probability Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 164.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
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3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.vtt 133.0 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.6 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
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05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp4 55.7 MB
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05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp4 11.3 MB
05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp4 10.4 MB
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【影视】 [UdemyCourseDownloader] Probability and Statistics for Business and Data Science

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05 Statistics/029 Sampling.mp4 78.0 MB
05 Statistics/037 Students T Distribution Example Exercise.mp4 73.0 MB
05 Statistics/032 Hypothesis Testing.mp4 69.6 MB
03 Probability/018 Bayes Theorem.mp4 67.0 MB
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04 Distributions/022 Binomial Distribution.mp4 63.0 MB
07 Regression/046 Linear Regression.mp4 61.4 MB
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6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 108.0 MB
5. Data Frames/10. Building Dataframes.mp4 107.3 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 103.0 MB
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5. Data Frames/7. Filtering a Data Frame.mp4 96.2 MB
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Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
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Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
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Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
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Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4 178.2 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
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