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【影视】 [DesireCourse.Com] Udemy - Complete linear algebra theory and implementation

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11. Least-squares for model-fitting in statistics/8. Least-squares application 2.mp4 139.8 MB
14. Quadratic form and definiteness/7. Application of the normalized quadratic form PCA.mp4 137.3 MB
13. Singular value decomposition/5. Spectral theory of matrices.mp4 122.2 MB
11. Least-squares for model-fitting in statistics/2. Introduction to least-squares.mp4 112.0 MB
7. Solving systems of equations/2. Systems of equations algebra and geometry.mp4 104.6 MB
12. Eigendecomposition/10. Matrix powers via diagonalization.mp4 104.4 MB
5. Matrix rank/4. Computing rank theory and practice.mp4 94.7 MB
6. Matrix spaces/2. Column space of a matrix.mp4 90.7 MB
9. Matrix inverse/5. Computing the inverse via row reduction.mp4 89.7 MB
12. Eigendecomposition/2. What are eigenvalues and eigenvectors.mp4 89.7 MB
11. Least-squares for model-fitting in statistics/7. Least-squares application 1.mp4 85.3 MB
14. Quadratic form and definiteness/5. Code challenge Visualize the normalized quadratic form.mp4 85.3 MB
13. Singular value decomposition/3. Code challenge SVD vs. eigendecomposition for square symmetric matrices.mp4 83.0 MB
13. Singular value decomposition/10. Code challenge Create matrix with desired condition number.mp4 82.5 MB
2. Vectors/9. Dot product geometry sign and orthogonality.mp4 80.9 MB
9. Matrix inverse/7. Left inverse and right inverse.mp4 80.4 MB
4. Matrix multiplications/7. Matrix-vector multiplication.mp4 79.5 MB
2. Vectors/26. Linear independence.mp4 79.4 MB
10. Projections and orthogonalization/3. Projections in R^N.mp4 79.2 MB
13. Singular value decomposition/2. Singular value decomposition (SVD).mp4 78.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete Linear Regression Analysis in Python

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6. Linear Regression/22. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/11. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/20. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 68.6 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/17. Test train split in Python.mp4 60.6 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 59.2 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB

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【文档书籍】 The theory of non-linear electric circuits.pdf

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The theory of non-linear electric circuits.pdf 151.3 MB

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【音乐】 Linear System - Space Explorations Part 111 [FLAC 2021]

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04. Linear System - Space Exploration Part.17.flac 43.9 MB
08. Linear System - Space Exploration Part.21.flac 42.5 MB
09. Linear System - Space Exploration Part.22.flac 42.3 MB
06. Linear System - Space Exploration Part.19.flac 41.7 MB
05. Linear System - Space Exploration Part.18.flac 40.6 MB
13. Linear System - Space Exploration Part.26.flac 40.5 MB
07. Linear System - Space Exploration Part.20.flac 39.7 MB
12. Linear System - Space Exploration Part.25.flac 38.5 MB
10. Linear System - Space Exploration Part.23.flac 37.9 MB
14. Linear System - Space Exploration Part.27.flac 36.7 MB
11. Linear System - Space Exploration Part.24.flac 36.5 MB
03. Linear System - Space Exploration Part.16.flac 35.6 MB
02. Linear System - Space Exploration Part.15.flac 28.7 MB
01. Linear System - Space Exploration Part.14.flac 11.3 MB
cover.jpg 34.7 kB
Folder.auCDtect.txt 6.7 kB
foo_dr.txt 2.0 kB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Linear Regression Analysis in Python for Machine Learning.zip

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[ FreeCourseWeb.com ] Packt - Linear Regression Analysis in Python for Machine Learning.zip 3.5 GB

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【影视】 Family of Linear Functions II theory explained a bit more

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linear functions.wmv 3.6 MB
Distributed by Mininova.txt 291 Bytes

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

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6. Setting Up Your Environment (FAQ by Student Request)/1. Anaconda Environment Setup.mp4 195.3 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/3. Statistics vs. Machine Learning.mp4 58.2 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Welcome/2. How to Succeed in this Course.mp4 46.0 MB
1. Welcome/1. Introduction and Outline.mp4 44.8 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/4. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/11. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/3. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/10. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Linear Algebra for Data Science in Python.zip

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[ FreeCourseWeb.com ] Packt - Linear Algebra for Data Science in Python.zip 253.3 MB

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【影视】 Our Non-Linear Selves with Joe Dispenza

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Our Non-Linear Selves with Joe Dispenza.mp4 785.4 MB
Downloaded From Demonoid.is.txt 58 Bytes

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【影视】 [FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU]

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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 85.6 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
1. Welcome/1. Welcome.mp4 33.6 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/2. Introduction and Outline.mp4 29.8 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
6. Appendix/12. Python 2 vs Python 3.mp4 17.7 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB

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【影视】 [FreeCourseLab.me] Udemy - Machine Learning for Beginners Linear Regression model in R

收录时间:2022-01-22 文档个数:168 文档大小:3.0 GB 最近下载:2025-05-15 人气:812 磁力链接

7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4 130.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/16. Test-Train Split in R.mp4 95.5 MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
7. Regression models other than OLS/3. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/11. Multiple Linear Regression in R.mp4 76.7 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.1 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 54.8 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 54.0 MB