FTUForum com UDEMY Machine Learning and AI Support Vector Machines in Python FTU

FTUForum com UDEMY Machine Learning and AI Support Vector Machines in Python FTU

Name	[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.3 GB
Total Files	150
Last Seen	2025-07-17 23:39
Hash	1DCA37E8DB24F33437B3E2E63A250099AC69B11C

/1. Welcome/
1. Introduction.mp4	16.9 MB
1. Introduction.vtt	2.8 KB
2. Course Objectives.mp4	39.1 MB
2. Course Objectives.vtt	5.9 KB
3. Course Outline.mp4	32.8 MB
3. Course Outline.vtt	6.8 KB
4. Where to get the code and data.mp4	40.9 MB
4. Where to get the code and data.vtt	7.1 KB
/2. Beginner_s Corner/
1. Beginner_s Corner Section Introduction.mp4	35.7 MB
1. Beginner_s Corner Section Introduction.vtt	6.4 KB
2. Image Classification with SVMs.mp4	38.3 MB
2. Image Classification with SVMs.vtt	6.5 KB
3. Spam Detection with SVMs.mp4	106.4 MB
3. Spam Detection with SVMs.vtt	12.7 KB
4. Medical Diagnosis with SVMs.mp4	50.2 MB
4. Medical Diagnosis with SVMs.vtt	6.2 KB
5. Regression with SVMs.mp4	53.4 MB
5. Regression with SVMs.vtt	5.8 KB
6. Cross-Validation.mp4	57.3 MB
6. Cross-Validation.vtt	8.5 KB
7. How do you get the data How do you process the data.mp4	30.2 MB
7. How do you get the data How do you process the data.vtt	6.8 KB
/3. Review of Linear Classifiers/
1. Basic Geometry.mp4	48.9 MB
1. Basic Geometry.vtt	11.7 KB
2. Normal Vectors.mp4	15.5 MB
2. Normal Vectors.vtt	3.7 KB
3. Logistic Regression Review.mp4	41.8 MB
3. Logistic Regression Review.vtt	10.9 KB
4. Loss Function and Regularization.mp4	16.9 MB
4. Loss Function and Regularization.vtt	4.4 KB
5. Prediction Confidence.mp4	32.1 MB
5. Prediction Confidence.vtt	8.1 KB
6. Nonlinear Problems.mp4	49.3 MB
6. Nonlinear Problems.vtt	10.7 KB
7. Linear Classifiers Section Conclusion.mp4	20.2 MB
7. Linear Classifiers Section Conclusion.vtt	4.8 KB
/4. Linear SVM/
10. Linear SVM Section Summary.mp4	19.9 MB
10. Linear SVM Section Summary.vtt	5.0 KB
1. Linear SVM Section Introduction and Outline.mp4	18.5 MB
1. Linear SVM Section Introduction and Outline.vtt	3.8 KB
2. Linear SVM Problem Setup and Definitions.mp4	23.9 MB
2. Linear SVM Problem Setup and Definitions.vtt	5.2 KB
3. Margins.mp4	43.5 MB
3. Margins.vtt	8.8 KB
4. Linear SVM Objective.mp4	51.6 MB
4. Linear SVM Objective.vtt	11.9 KB
5. Linear and Quadratic Programming.mp4	67.3 MB
5. Linear and Quadratic Programming.vtt	13.5 KB
6. Slack Variables.mp4	40.6 MB
6. Slack Variables.vtt	8.1 KB
7. Hinge Loss (and its Relationship to Logistic Regression).mp4	31.1 MB
7. Hinge Loss (and its Relationship to Logistic Regression).vtt	6.8 KB
8. Linear SVM with Gradient Descent.mp4	16.4 MB
8. Linear SVM with Gradient Descent.vtt	3.2 KB
9. Linear SVM with Gradient Descent (Code).mp4	54.5 MB
9. Linear SVM with Gradient Descent (Code).vtt	5.4 KB
/5. Duality/
1. Duality Section Introduction.mp4	15.4 MB
1. Duality Section Introduction.vtt	4.3 KB
2. Duality and Lagrangians (part 1).mp4	61.5 MB
2. Duality and Lagrangians (part 1).vtt	14.0 KB
3. Lagrangian Duality (part 2).mp4	30.6 MB
3. Lagrangian Duality (part 2).vtt	6.9 KB
4. Relationship to Linear Programming.mp4	21.1 MB
4. Relationship to Linear Programming.vtt	4.7 KB
5. Predictions and Support Vectors.mp4	40.8 MB
5. Predictions and Support Vectors.vtt	9.8 KB
6. Why Transform Primal to Dual.mp4	17.7 MB
6. Why Transform Primal to Dual.vtt	3.8 KB
7. Duality Section Conclusion.mp4	13.9 MB
7. Duality Section Conclusion.vtt	3.1 KB
/6. Kernel Methods/
1. Kernel Methods Section Introduction.mp4	20.1 MB
1. Kernel Methods Section Introduction.vtt	4.0 KB
2. The Kernel Trick.mp4	39.1 MB
2. The Kernel Trick.vtt	8.2 KB
3. Polynomial Kernel.mp4	26.6 MB
3. Polynomial Kernel.vtt	6.1 KB
4. Gaussian Kernel.mp4	28.3 MB
4. Gaussian Kernel.vtt	5.4 KB
5. Using the Gaussian Kernel.mp4	37.8 MB
5. Using the Gaussian Kernel.vtt	7.8 KB
6. Why does the Gaussian Kernel correspond to infinite-dimensional features.mp4	20.8 MB
6. Why does the Gaussian Kernel correspond to infinite-dimensional features.vtt	4.5 KB
7. Other Kernels.mp4	34.0 MB
7. Other Kernels.vtt	7.4 KB
8. Mercer_s Condition.mp4	28.9 MB
8. Mercer_s Condition.vtt	6.7 KB
9. Kernel Methods Section Summary.mp4	11.7 MB
9. Kernel Methods Section Summary.vtt	2.9 KB
/7. Implementations and Extensions/
1. Dual with Slack Variables.mp4	40.8 MB
1. Dual with Slack Variables.vtt	11.5 KB
2. Simple Approaches to Implementation.mp4	25.8 MB
2. Simple Approaches to Implementation.vtt	7.1 KB
3. SVM with Projected Gradient Descent Code.mp4	87.7 MB
3. SVM with Projected Gradient Descent Code.vtt	8.0 KB
4. Kernel SVM Gradient Descent with Primal (Theory).mp4	22.4 MB
4. Kernel SVM Gradient Descent with Primal (Theory).vtt	5.0 KB
5. Kernel SVM Gradient Descent with Primal (Code).mp4	61.6 MB
5. Kernel SVM Gradient Descent with Primal (Code).vtt	4.2 KB
6. SMO (Sequential Minimal Optimization).mp4	43.4 MB
6. SMO (Sequential Minimal Optimization).vtt	10.8 KB
7. Support Vector Regression.mp4	28.6 MB
7. Support Vector Regression.vtt	6.0 KB
8. Multiclass Classification.mp4	20.0 MB
8. Multiclass Classification.vtt	5.0 KB
/8. Neural Networks (Beginner_s Corner 2)/
1. Neural Networks Section Introduction.mp4	16.4 MB
1. Neural Networks Section Introduction.vtt	3.1 KB
2. RBF Networks.mp4	83.4 MB
2. RBF Networks.vtt	17.4 KB
3. RBF Approximations.mp4	46.6 MB
3. RBF Approximations.vtt	9.6 KB
4. What Happened to Infinite Dimensionality.mp4	13.2 MB
4. What Happened to Infinite Dimensionality.vtt	3.0 KB
5. Build Your Own RBF Network.mp4	41.0 MB
5. Build Your Own RBF Network.vtt	4.1 KB
6. Relationship to Deep Learning Neural Networks.mp4	35.4 MB
6. Relationship to Deep Learning Neural Networks.vtt	8.0 KB
7. Neural Network-SVM Mashup.mp4	75.8 MB
7. Neural Network-SVM Mashup.vtt	7.4 KB
8. Neural Networks Section Conclusion.mp4	12.4 MB
8. Neural Networks Section Conclusion.vtt	2.9 KB
/9. Appendix/
10. What order should I take your courses in (part 1).mp4	92.7 MB
10. What order should I take your courses in (part 1).vtt	14.5 KB
11. What order should I take your courses in (part 2).mp4	129.0 MB
11. What order should I take your courses in (part 2).vtt	20.7 KB
12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4	23.6 MB
12. [Bonus] Where to get discount coupons and FREE deep learning material.vtt	3.0 KB
1. What is the Appendix.mp4	26.7 MB
1. What is the Appendix.vtt	3.4 KB
2. Windows-Focused Environment Setup 2018.mp4	203.8 MB
2. Windows-Focused Environment Setup 2018.vtt	17.8 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	175.1 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.9 KB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	123.4 MB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	28.3 KB
5. How to Succeed in this Course (Long Version).mp4	41.2 MB
5. How to Succeed in this Course (Long Version).vtt	13.1 KB
6. How to Code by Yourself (part 1).mp4	86.6 MB
6. How to Code by Yourself (part 1).vtt	19.8 KB
7. How to Code by Yourself (part 2).mp4	59.4 MB
7. How to Code by Yourself (part 2).vtt	11.7 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	12.6 KB
9. Python 2 vs Python 3.mp4	31.7 MB
9. Python 2 vs Python 3.vtt	5.5 KB
/
Discuss.FTUForum.com.html	32.7 KB
FreeCoursesOnline.Me.html	110.9 KB
FTUForum.com.html	102.9 KB
How you can help Team-FTU.txt	0.2 KB
[TGx]Downloaded from torrentgalaxy.org.txt	0.5 KB
Torrent Downloaded From GloDls.to.txt	0.1 KB
Total files 150