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[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
大小 1.12 GB
文件数 113
Info Hash: 32B7BB017C4D88324BEB30985A2197892D23A92E
收录时间 2026-01-04 11:54:12
更新时间 2026-01-04 11:54:12
文件列表 (113)
1. Welcome/1. Welcome.mp4
49.68 MB
1. Welcome/1. Welcome.srt
4.8 KB
1. Welcome/2. Introduction and Outline.mp4
6.34 MB
1. Welcome/2. Introduction and Outline.srt
5.89 KB
1. Welcome/3. What is machine learning How does linear regression play a role.mp4
8.43 MB
1. Welcome/3. What is machine learning How does linear regression play a role.srt
5.85 KB
1. Welcome/4. Anyone Can Succeed in this Course.mp4
83.98 MB
1. Welcome/4. Anyone Can Succeed in this Course.srt
19.06 KB
1. Welcome/5. Statistics vs. Machine Learning.mp4
55.52 MB
1. Welcome/5. Statistics vs. Machine Learning.srt
16 KB
1. Welcome/6. What can linear regression be used for.html
150 B
1. Welcome/[Tutorialsplanet.NET].url
128 B
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4
19.34 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).srt
17.7 KB
2. 1-D Linear Regression Theory and Code/10. R-squared Quiz 1.mp4
2.8 MB
2. 1-D Linear Regression Theory and Code/10. R-squared Quiz 1.srt
2.37 KB
2. 1-D Linear Regression Theory and Code/11. Suggestion Box.mp4
16.08 MB
2. 1-D Linear Regression Theory and Code/11. Suggestion Box.srt
4.86 KB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4
24.66 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.srt
11.06 KB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4
14.43 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.srt
5.9 KB
2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.mp4
1.05 MB
2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.srt
1.64 KB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4
11.3 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.srt
4.7 KB
2. 1-D Linear Regression Theory and Code/6. R-squared in code.mp4
4.5 MB
2. 1-D Linear Regression Theory and Code/6. R-squared in code.srt
1.84 KB
2. 1-D Linear Regression Theory and Code/7. Introduction to Moore's Law Problem.mp4
4.41 MB
2. 1-D Linear Regression Theory and Code/7. Introduction to Moore's Law Problem.srt
3.74 KB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4
17.51 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.srt
6.92 KB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4
20.18 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.srt
8.12 KB
3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4
14.44 MB
3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).srt
12.48 KB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4
36.08 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.srt
12.92 KB
3. Multiple linear regression and polynomial regression/3. How to solve multiple linear regression using only matrices.mp4
3.1 MB
3. Multiple linear regression and polynomial regression/3. How to solve multiple linear regression using only matrices.srt
2.04 KB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4
14.92 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.srt
5.51 KB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4
16.4 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).srt
5.27 KB
3. Multiple linear regression and polynomial regression/6. Predicting Systolic Blood Pressure from Age and Weight.mp4
12.34 MB
3. Multiple linear regression and polynomial regression/6. Predicting Systolic Blood Pressure from Age and Weight.srt
5.48 KB
3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.mp4
3.5 MB
3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.srt
2.89 KB
4. Practical machine learning issues/1. What do all these letters mean.mp4
9.63 MB
4. Practical machine learning issues/1. What do all these letters mean.srt
8.52 KB
4. Practical machine learning issues/10. The Dummy Variable Trap.mp4
6.07 MB
4. Practical machine learning issues/10. The Dummy Variable Trap.srt
5.9 KB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4
22.8 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.srt
5.93 KB
4. Practical machine learning issues/12. Gradient Descent for Linear Regression.mp4
3.51 MB
4. Practical machine learning issues/12. Gradient Descent for Linear Regression.srt
3.37 KB
4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.mp4
8.5 MB
4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.srt
3.85 KB
4. Practical machine learning issues/14. L1 Regularization - Theory.mp4
4.66 MB
4. Practical machine learning issues/14. L1 Regularization - Theory.srt
4.51 KB
4. Practical machine learning issues/15. L1 Regularization - Code.mp4
8.26 MB
4. Practical machine learning issues/15. L1 Regularization - Code.srt
3.81 KB
4. Practical machine learning issues/16. L1 vs L2 Regularization.mp4
4.8 MB
4. Practical machine learning issues/16. L1 vs L2 Regularization.srt
4.5 KB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4
23.49 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.srt
9.37 KB
4. Practical machine learning issues/2. Interpreting the Weights.mp4
14.15 MB
4. Practical machine learning issues/2. Interpreting the Weights.srt
4.54 KB
4. Practical machine learning issues/3. Generalization error, train and test sets.mp4
4.39 MB
4. Practical machine learning issues/3. Generalization error, train and test sets.srt
2.85 KB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4
17.25 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.srt
9.19 KB
4. Practical machine learning issues/5. Categorical inputs.mp4
8.18 MB
4. Practical machine learning issues/5. Categorical inputs.srt
4.81 KB
4. Practical machine learning issues/6. One-Hot Encoding Quiz.mp4
3.78 MB
4. Practical machine learning issues/6. One-Hot Encoding Quiz.srt
2.73 KB
4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.mp4
8.13 MB
4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.srt
6.75 KB
4. Practical machine learning issues/8. L2 Regularization - Theory.mp4
6.65 MB
4. Practical machine learning issues/8. L2 Regularization - Theory.srt
5.93 KB
4. Practical machine learning issues/9. L2 Regularization - Code.mp4
8.08 MB
4. Practical machine learning issues/9. L2 Regularization - Code.srt
3.63 KB
4. Practical machine learning issues/[Tutorialsplanet.NET].url
128 B
5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.mp4
8.13 MB
5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.srt
5.69 KB
5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.mp4
7.16 MB
5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.srt
5.35 KB
6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4
186.29 MB
6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt
21.64 KB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
15.57 KB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4
24.54 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).srt
24.26 KB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4
14.81 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).srt
13.94 KB
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
78.28 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.srt
15.08 KB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4
7.83 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.srt
6.55 KB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/[Tutorialsplanet.NET].url
128 B
8/1. How to Succeed in this Course (Long Version).mp4
18.32 MB
8/1. How to Succeed in this Course (Long Version).srt
15.2 KB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.95 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
33.78 KB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
29.32 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
17.19 KB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
37.62 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
25.15 KB
9. Appendix FAQ Finale/1. What is the Appendix.mp4
5.45 MB
9. Appendix FAQ Finale/1. What is the Appendix.srt
3.89 KB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
37.83 MB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt
8.37 KB
[Tutorialsplanet.NET].url
128 B
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