Download The Complete Machine Learning Course with Python Torrent

Torrent Contents Size: 6.79 GB

The Complete Machine Learning Course with Python

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1. Introduction

1. What Does the Course Cover.mp4	MP4	54.4 MB
1. What Does the Course Cover.srt	SRT	3.16 KB
2. How to Succeed in This Course.html	HTML	2.22 KB
3. Project Files and Resources.html	HTML	2.06 KB

10. Unsupervised Learning Clustering

1. Clustering.mp4	MP4	125.68 MB
1. Clustering.srt	SRT	20.68 KB
2. k_Means Clustering.mp4	MP4	57.71 MB
2. k_Means Clustering.srt	SRT	10.81 KB

11. Deep Learning

1. Estimating Simple Function with Neural Networks.mp4	MP4	143.85 MB
1. Estimating Simple Function with Neural Networks.srt	SRT	26.4 KB
2. Neural Network Architecture.mp4	MP4	22.37 MB
2. Neural Network Architecture.srt	SRT	7.93 KB
3. Motivational Example - Project MNIST.mp4	MP4	144.96 MB
3. Motivational Example - Project MNIST.srt	SRT	25.83 KB
4. Binary Classification Problem.mp4	MP4	72.11 MB
4. Binary Classification Problem.srt	SRT	12.2 KB
5. Natural Language Processing - Binary Classification.mp4	MP4	76.05 MB
5. Natural Language Processing - Binary Classification.srt	SRT	12.78 KB

12. Appendix A1 Foundations of Deep Learning

1. Introduction to Neural Networks.mp4	MP4	13.74 MB
1. Introduction to Neural Networks.srt	SRT	2.72 KB
10. Gradient Based Optimization.mp4	MP4	54.96 MB
10. Gradient Based Optimization.srt	SRT	13.76 KB
11. Getting Started with Neural Network and Deep Learning Libraries.mp4	MP4	18.67 MB
11. Getting Started with Neural Network and Deep Learning Libraries.srt	SRT	5.76 KB
12. Categories of Machine Learning.mp4	MP4	37.47 MB
12. Categories of Machine Learning.srt	SRT	12.11 KB
13. Over and Under Fitting.mp4	MP4	70.06 MB
13. Over and Under Fitting.srt	SRT	18.2 KB
14. Machine Learning Workflow.mp4	MP4	27.44 MB
14. Machine Learning Workflow.srt	SRT	5.7 KB
2. Differences between Classical Programming and Machine Learning.mp4	MP4	20.85 MB
2. Differences between Classical Programming and Machine Learning.srt	SRT	5.05 KB
3. Learning Representations.mp4	MP4	77.24 MB
3. Learning Representations.srt	SRT	12.58 KB
4. What is Deep Learning.mp4	MP4	155.61 MB
4. What is Deep Learning.srt	SRT	26.23 KB
5. Learning Neural Networks.mp4	MP4	40.61 MB
5. Learning Neural Networks.srt	SRT	12.7 KB
6. Why Now.mp4	MP4	9.06 MB
6. Why Now.srt	SRT	3.37 KB
7. Building Block Introduction.mp4	MP4	14.16 MB
7. Building Block Introduction.srt	SRT	5.63 KB
8. Tensors.mp4	MP4	16.88 MB
8. Tensors.srt	SRT	4.68 KB
9. Tensor Operations.mp4	MP4	88.79 MB
9. Tensor Operations.srt	SRT	21 KB

13. Computer Vision and Convolutional Neural Network (CNN)

1. Outline.mp4	MP4	63.65 MB
1. Outline.srt	SRT	4.59 KB
10. Training Your CNN 1.mp4	MP4	124.88 MB
10. Training Your CNN 1.srt	SRT	16.7 KB
11. Training Your CNN 2.mp4	MP4	128.54 MB
11. Training Your CNN 2.srt	SRT	23.82 KB
12. Loading Previously Trained Model.mp4	MP4	11.2 MB
12. Loading Previously Trained Model.srt	SRT	1.86 KB
13. Model Performance Comparison.mp4	MP4	79.75 MB
13. Model Performance Comparison.srt	SRT	11.57 KB
14. Data Augmentation.mp4	MP4	28.48 MB
14. Data Augmentation.srt	SRT	3.62 KB
15. Transfer Learning.mp4	MP4	97 MB
15. Transfer Learning.srt	SRT	12.98 KB
16. Feature Extraction.mp4	MP4	111.14 MB
16. Feature Extraction.srt	SRT	13.78 KB
17. State of the Art Tools.mp4	MP4	35.41 MB
17. State of the Art Tools.srt	SRT	6.72 KB
2. Neural Network Revision.mp4	MP4	43.81 MB
2. Neural Network Revision.srt	SRT	10 KB
3. Motivational Example.mp4	MP4	66.21 MB
3. Motivational Example.srt	SRT	9.45 KB
4. Visualizing CNN.mp4	MP4	141.94 MB
4. Visualizing CNN.srt	SRT	17.43 KB
5. Understanding CNN.mp4	MP4	30.03 MB
5. Understanding CNN.srt	SRT	7.36 KB
6. Layer - Input.mp4	MP4	29.13 MB
6. Layer - Input.srt	SRT	6.86 KB
7. Layer - Filter.mp4	MP4	84.39 MB
7. Layer - Filter.srt	SRT	20.85 KB
8. Activation Function.mp4	MP4	32.32 MB
8. Activation Function.srt	SRT	7.84 KB
9. Pooling, Flatten, Dense.mp4	MP4	88.13 MB
9. Pooling, Flatten, Dense.srt	SRT	13.9 KB
Download Paid Udemy Courses For Free.url	URL	116 B
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

2. Getting Started with Anaconda

1. Installing Applications and Creating Environment.mp4	MP4	38.42 MB
1. Installing Applications and Creating Environment.srt	SRT	6.69 KB
2. Hello World.mp4	MP4	51.22 MB
2. Hello World.srt	SRT	14 KB
3. Iris Project 1 Working with Error Messages.mp4	MP4	89.84 MB
3. Iris Project 1 Working with Error Messages.srt	SRT	16.05 KB
4. Iris Project 2 Reading CSV Data into Memory.mp4	MP4	64.56 MB
4. Iris Project 2 Reading CSV Data into Memory.srt	SRT	10.79 KB
5. Iris Project 3 Loading data from Seaborn.mp4	MP4	55.87 MB
5. Iris Project 3 Loading data from Seaborn.srt	SRT	10.76 KB
6. Iris Project 4 Visualization.mp4	MP4	93.49 MB
6. Iris Project 4 Visualization.srt	SRT	12.38 KB

3. Regression

1. Scikit-Learn.mp4	MP4	48.45 MB
1. Scikit-Learn.srt	SRT	10.98 KB
10. Multiple Regression 2.mp4	MP4	91.15 MB
10. Multiple Regression 2.srt	SRT	15.38 KB
11. Regularized Regression.mp4	MP4	44.35 MB
11. Regularized Regression.srt	SRT	8.45 KB
12. Polynomial Regression.mp4	MP4	110.78 MB
12. Polynomial Regression.srt	SRT	22.08 KB
13. Dealing with Non-linear Relationships.mp4	MP4	62.69 MB
13. Dealing with Non-linear Relationships.srt	SRT	11.03 KB
14. Feature Importance.mp4	MP4	36.25 MB
14. Feature Importance.srt	SRT	5.67 KB
15. Data Preprocessing.mp4	MP4	135.55 MB
15. Data Preprocessing.srt	SRT	28.16 KB
16. Variance-Bias Trade Off.mp4	MP4	68.7 MB
16. Variance-Bias Trade Off.srt	SRT	14.55 KB
17. Learning Curve.mp4	MP4	56.37 MB
17. Learning Curve.srt	SRT	10.83 KB
18. Cross Validation.mp4	MP4	48.04 MB
18. Cross Validation.srt	SRT	10.22 KB
19. CV Illustration.mp4	MP4	127.23 MB
19. CV Illustration.srt	SRT	21.27 KB
2. EDA.mp4	MP4	151.67 MB
2. EDA.srt	SRT	24.41 KB
3. Correlation Analysis and Feature Selection.mp4	MP4	22.58 MB
3. Correlation Analysis and Feature Selection.srt	SRT	10.67 KB
3.1 0305.zip	ZIP	2.13 MB
4. Correlation Analysis and Feature Selection.mp4	MP4	105.19 MB
4. Correlation Analysis and Feature Selection.srt	SRT	15.22 KB
5. Linear Regression with Scikit-Learn.mp4	MP4	76.98 MB
5. Linear Regression with Scikit-Learn.srt	SRT	16.04 KB
6. Five Steps Machine Learning Process.mp4	MP4	77.27 MB
6. Five Steps Machine Learning Process.srt	SRT	10.01 KB
7. Robust Regression.mp4	MP4	119.06 MB
7. Robust Regression.srt	SRT	21.8 KB
8. Evaluate Regression Model Performance.mp4	MP4	99.66 MB
8. Evaluate Regression Model Performance.srt	SRT	19.18 KB
9. Multiple Regression 1.mp4	MP4	125.51 MB
9. Multiple Regression 1.srt	SRT	24.28 KB

4. Classification

1. Logistic Regression.mp4	MP4	119.59 MB
1. Logistic Regression.srt	SRT	25.37 KB
10. Precision Recall Tradeoff.mp4	MP4	102.01 MB
10. Precision Recall Tradeoff.srt	SRT	22.26 KB
11. Altering the Precision Recall Tradeoff.mp4	MP4	20.93 MB
11. Altering the Precision Recall Tradeoff.srt	SRT	3.69 KB
12. ROC.mp4	MP4	52.22 MB
12. ROC.srt	SRT	8.24 KB
2. Introduction to Classification.mp4	MP4	42.12 MB
2. Introduction to Classification.srt	SRT	6.02 KB
3. Understanding MNIST.mp4	MP4	108.98 MB
3. Understanding MNIST.srt	SRT	18.3 KB
4. SGD.mp4	MP4	57.3 MB
4. SGD.srt	SRT	11.5 KB
5. Performance Measure and Stratified k-Fold.mp4	MP4	51.54 MB
5. Performance Measure and Stratified k-Fold.srt	SRT	8.69 KB
6. Confusion Matrix.mp4	MP4	54.71 MB
6. Confusion Matrix.srt	SRT	11.7 KB
7. Precision.mp4	MP4	23.58 MB
7. Precision.srt	SRT	4.35 KB
8. Recall.mp4	MP4	19.64 MB
8. Recall.srt	SRT	3.93 KB
9. f1.mp4	MP4	12.11 MB
9. f1.srt	SRT	2.37 KB

5. Support Vector Machine (SVM)

1. Support Vector Machine (SVM) Concepts.mp4	MP4	37.87 MB
1. Support Vector Machine (SVM) Concepts.srt	SRT	8.63 KB
2. Linear SVM Classification.mp4	MP4	80.94 MB
2. Linear SVM Classification.srt	SRT	13.07 KB
3. Polynomial Kernel.mp4	MP4	34.96 MB
3. Polynomial Kernel.srt	SRT	5.98 KB
4. Radial Basis Function.mp4	MP4	70.13 MB
4. Radial Basis Function.srt	SRT	9.41 KB
5. Support Vector Regression.mp4	MP4	59.68 MB
5. Support Vector Regression.srt	SRT	9.8 KB

6. Tree

1. Introduction to Decision Tree.mp4	MP4	43.86 MB
1. Introduction to Decision Tree.srt	SRT	8.65 KB
2. Training and Visualizing a Decision Tree.mp4	MP4	51.4 MB
2. Training and Visualizing a Decision Tree.srt	SRT	7.46 KB
3. Visualizing Boundary.mp4	MP4	54.72 MB
3. Visualizing Boundary.srt	SRT	9.61 KB
4. Tree Regression, Regularization and Over Fitting.mp4	MP4	40.05 MB
4. Tree Regression, Regularization and Over Fitting.srt	SRT	5.59 KB
5. End to End Modeling.mp4	MP4	35.62 MB
5. End to End Modeling.srt	SRT	5.55 KB
6. Project HR.mp4	MP4	177.83 MB
6. Project HR.srt	SRT	30.75 KB
7. Project HR with Google Colab.mp4	MP4	66.57 MB
7. Project HR with Google Colab.srt	SRT	12.68 KB

7. Ensemble Machine Learning

1. Ensemble Learning Methods Introduction.mp4	MP4	37.17 MB
1. Ensemble Learning Methods Introduction.srt	SRT	5.85 KB
10. Ensemble of ensembles Part 2.mp4	MP4	37.85 MB
10. Ensemble of ensembles Part 2.srt	SRT	6.14 KB
2. Bagging.mp4	MP4	165.44 MB
2. Bagging.srt	SRT	22.8 KB
3. Random Forests and Extra-Trees.mp4	MP4	80.28 MB
3. Random Forests and Extra-Trees.srt	SRT	11.54 KB
4. AdaBoost.mp4	MP4	49.85 MB
4. AdaBoost.srt	SRT	8.22 KB
5. Gradient Boosting Machine.mp4	MP4	21.96 MB
5. Gradient Boosting Machine.srt	SRT	3.67 KB
6. XGBoost Installation.mp4	MP4	22.26 MB
6. XGBoost Installation.srt	SRT	3.02 KB
7. XGBoost.mp4	MP4	35.05 MB
7. XGBoost.srt	SRT	5.4 KB
8. Project HR - Human Resources Analytics.mp4	MP4	59.21 MB
8. Project HR - Human Resources Analytics.srt	SRT	10.44 KB
9. Ensemble of Ensembles Part 1.mp4	MP4	46.4 MB
9. Ensemble of Ensembles Part 1.srt	SRT	7.79 KB
Download Paid Udemy Courses For Free.url	URL	116 B
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

8. k-Nearest Neighbours (kNN)

1. kNN Introduction.mp4	MP4	62.95 MB
1. kNN Introduction.srt	SRT	12 KB
2. Project Cancer Detection.mp4	MP4	75.73 MB
2. Project Cancer Detection.srt	SRT	10.52 KB
3. Addition Materials.html	HTML	335 B
4. Project Cancer Detection Part 1.mp4	MP4	49.4 MB
4. Project Cancer Detection Part 1.srt	SRT	24.53 KB
4.1 0805.zip	ZIP	40.76 KB

9. Unsupervised Learning Dimensionality Reduction

1. Dimensionality Reduction Concept.mp4	MP4	31.37 MB
1. Dimensionality Reduction Concept.srt	SRT	5.66 KB
2. PCA Introduction.mp4	MP4	49.03 MB
2. PCA Introduction.srt	SRT	8.82 KB
3. Project Wine.mp4	MP4	47.87 MB
3. Project Wine.srt	SRT	7.52 KB
4. Kernel PCA.mp4	MP4	36.6 MB
4. Kernel PCA.srt	SRT	6.56 KB
5. Kernel PCA Demo.mp4	MP4	21.44 MB
5. Kernel PCA Demo.srt	SRT	3.91 KB
6. LDA vs PCA.mp4	MP4	34.15 MB
6. LDA vs PCA.srt	SRT	6.43 KB
7. Project Abalone.mp4	MP4	30.74 MB
7. Project Abalone.srt	SRT	4.75 KB

Download Paid Udemy Courses For Free.url

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GetFreeCourses.Co.url

URL

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How you can help GetFreeCourses.Co.txt

TXT

182 B

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The Complete Machine Learning Course with Python

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