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【其他】 [ DevCourseWeb.com ] Machine Learning with PyTorch and Scikit-Learn - Develop machine learning and deep learning models with Python

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【文档书籍】 Advanced Engineering Mathematics-Jones & Bartlett Learning (2020).epub

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【其他】 [Coursera] Machine Learning by Andrew Ng

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01. Introduction (Week 1)/1 - 1 - Welcome (7 min).mp4 12.5 MB
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01. Introduction (Week 1)/1 - 3 - Supervised Learning (12 min).mp4 14.1 MB
01. Introduction (Week 1)/1 - 4 - Unsupervised Learning (14 min).mp4 17.5 MB
01. Introduction (Week 1)/docs-slides-Lecture1.pdf 3.5 MB
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02. Linear Regression with One Variable (Week 1)/2 - 1 - Model Representation (8 min).mp4 9.4 MB
02. Linear Regression with One Variable (Week 1)/2 - 2 - Cost Function (8 min).mp4 9.5 MB
02. Linear Regression with One Variable (Week 1)/2 - 3 - Cost Function - Intuition I (11 min).mp4 12.8 MB
02. Linear Regression with One Variable (Week 1)/2 - 4 - Cost Function - Intuition II (9 min).mp4 11.9 MB
02. Linear Regression with One Variable (Week 1)/2 - 5 - Gradient Descent (11 min).mp4 14.2 MB
02. Linear Regression with One Variable (Week 1)/2 - 6 - Gradient Descent Intuition (12 min).mp4 13.7 MB
02. Linear Regression with One Variable (Week 1)/2 - 7 - Gradient Descent For Linear Regression (10 min).mp4 12.8 MB
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03. Linear Algebra Review (Week 1, Optional)/3 - 1 - Matrices and Vectors (9 min).mp4 10.0 MB
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~Get Your Files Here !/9. AzureML Pipeline/3. AzureML Pipeline-Part3.mp4 71.4 MB
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【影视】 [FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

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9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
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02 Getting Started with Anaconda/attached_files/008 Navigating the Spyder Jupyter Notebook Interface/0204.zip 43.3 kB
02 Getting Started with Anaconda/attached_files/009 Downloading the IRIS Datasets/0205.zip 234.1 kB
02 Getting Started with Anaconda/attached_files/010 Data Exploration and Analysis/0206.zip 45.8 kB
02 Getting Started with Anaconda/attached_files/011 Presenting Your Data/0207.zip 1.1 MB
03 Regression/attached_files/014 Working with Scikit-Learn/0303.zip 933.8 kB
03 Regression/attached_files/015 Boston Housing Data - EDA/0304.zip 2.0 MB
03 Regression/attached_files/016 Correlation Analysis and Feature Selection/0305.zip 2.2 MB
03 Regression/attached_files/017 Simple Linear Regression Modelling with Boston Housing Data/0306.zip 2.7 MB
03 Regression/attached_files/018 Robust Regression/0307.zip 2.9 MB
03 Regression/attached_files/019 Evaluate Model Performance/0308.zip 3.1 MB
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03 Regression/attached_files/022 Ordinary Least Square Regression and Gradient Descent/0311.zip 144.8 kB
03 Regression/attached_files/023 Regularised Method for Regression/0312.zip 264.9 kB
03 Regression/attached_files/024 Polynomial Regression/0313.zip 383.9 kB
03 Regression/attached_files/025 Dealing with Non-linear relationships/0314.zip 185.1 kB
03 Regression/attached_files/026 Feature Importance Revisited/0315.zip 231.3 kB
03 Regression/attached_files/027 Data Pre-Processing 1/0316.zip 159.6 kB
03 Regression/attached_files/028 Data Pre-Processing 2/0317.zip 160.7 kB
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06 - Descriptive statistics/004 Code_ data from different distributions.mp4 317.8 MB
16 - Clustering and dimension-reduction/006 Code_ dbscan.mp4 302.1 MB
12 - Correlation/006 Code_ correlation matrix.mp4 296.2 MB
06 - Descriptive statistics/012 Code_ Computing dispersion.mp4 279.0 MB
18 - A real-world data journey/007 Python_ Import and clean the marriage data.mp4 262.0 MB
10 - The t-test family/013 Code_ permutation testing.mp4 252.6 MB
16 - Clustering and dimension-reduction/002 Code_ k-means clustering.mp4 241.5 MB
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10 - The t-test family/006 Code_ Two-samples t-test.mp4 221.6 MB
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