[FreeCourseSite com] Udemy – Introduction to Machine Learning & Deep Learning in Python

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12M	1. Introduction
3.5M	1. Introduction/1. Introduction.mp4
4.0K	1. Introduction/1. Introduction.vtt
8.1M	1. Introduction/2. Introduction to machine learning.mp4
8.0K	1. Introduction/2. Introduction to machine learning.vtt
72M	10. Boosting
8.4M	10. Boosting/1. Boosting introduction - basics.mp4
8.0K	10. Boosting/1. Boosting introduction - basics.vtt
8.2M	10. Boosting/2. Boosting introduction - illustration.mp4
8.0K	10. Boosting/2. Boosting introduction - illustration.vtt
14M	10. Boosting/3. Boosting introduction - equations.mp4
8.0K	10. Boosting/3. Boosting introduction - equations.vtt
14M	10. Boosting/4. Boosting introduction - final formula.mp4
12K	10. Boosting/4. Boosting introduction - final formula.vtt
13M	10. Boosting/5. Boosting implementation I - iris dataset.mp4
8.0K	10. Boosting/5. Boosting implementation I - iris dataset.vtt
11M	10. Boosting/6. Boosting implementation II -tuning.mp4
8.0K	10. Boosting/6. Boosting implementation II -tuning.vtt
5.3M	10. Boosting/7. Boosting vs. bagging.mp4
4.0K	10. Boosting/7. Boosting vs. bagging.vtt
119M	11. Clustering
8.6M	11. Clustering/1. Principal component anlysis introduction.mp4
8.0K	11. Clustering/1. Principal component anlysis introduction.vtt
12M	11. Clustering/10. Hierarchical clustering example.mp4
8.0K	11. Clustering/10. Hierarchical clustering example.vtt
15M	11. Clustering/2. Principal component analysis example.mp4
8.0K	11. Clustering/2. Principal component analysis example.vtt
14M	11. Clustering/3. K-means clustering introduction I.mp4
8.0K	11. Clustering/3. K-means clustering introduction I.vtt
9.5M	11. Clustering/4. K-means clustering introduction II.mp4
8.0K	11. Clustering/4. K-means clustering introduction II.vtt
9.5M	11. Clustering/5. K-means clustering example.mp4
8.0K	11. Clustering/5. K-means clustering example.vtt
19M	11. Clustering/6. K-means clustering - text clustering.mp4
8.0K	11. Clustering/6. K-means clustering - text clustering.vtt
12M	11. Clustering/7. DBSCAN introduction.mp4
8.0K	11. Clustering/7. DBSCAN introduction.vtt
7.9M	11. Clustering/8. DBSCAN example.mp4
8.0K	11. Clustering/8. DBSCAN example.vtt
14M	11. Clustering/9. Hierarchical clustering introduction.mp4
8.0K	11. Clustering/9. Hierarchical clustering introduction.vtt
365M	12. Neural Networks
4.0K	12. Neural Networks/1. ---- NEURAL NETWORKS INTRODUCTION ----.html
4.0K	12. Neural Networks/10. ---- BACKPROPAGATION ----.html
19M	12. Neural Networks/11. Feedforward neural networks.mp4
12K	12. Neural Networks/11. Feedforward neural networks.vtt
26M	12. Neural Networks/12. Optimization - cost function.mp4
12K	12. Neural Networks/12. Optimization - cost function.vtt
20M	12. Neural Networks/13. Simplified feedforward network.mp4
12K	12. Neural Networks/13. Simplified feedforward network.vtt
15M	12. Neural Networks/14. Feedforward neural network topology.mp4
8.0K	12. Neural Networks/14. Feedforward neural network topology.vtt
14M	12. Neural Networks/15. The learning algorithm.mp4
8.0K	12. Neural Networks/15. The learning algorithm.vtt
14M	12. Neural Networks/16. Error calculation.mp4
8.0K	12. Neural Networks/16. Error calculation.vtt
21M	12. Neural Networks/17. Gradient calculation I - output layer.mp4
12K	12. Neural Networks/17. Gradient calculation I - output layer.vtt
9.2M	12. Neural Networks/18. Gradient calculation II - hidden layer.mp4
8.0K	12. Neural Networks/18. Gradient calculation II - hidden layer.vtt
13M	12. Neural Networks/19. Backpropagation.mp4
8.0K	12. Neural Networks/19. Backpropagation.vtt
20M	12. Neural Networks/2. Axons and neurons in the human brain.mp4
12K	12. Neural Networks/2. Axons and neurons in the human brain.vtt
4.7M	12. Neural Networks/20. Backpropagation II.mp4
4.0K	12. Neural Networks/20. Backpropagation II.vtt
8.8M	12. Neural Networks/21. Applications of neural networks I - character recognition.mp4
8.0K	12. Neural Networks/21. Applications of neural networks I - character recognition.vtt
9.6M	12. Neural Networks/22. Applications of neural networks II - stock market forecast.mp4
8.0K	12. Neural Networks/22. Applications of neural networks II - stock market forecast.vtt
9.5M	12. Neural Networks/23. Deep learning.mp4
8.0K	12. Neural Networks/23. Deep learning.vtt
4.0K	12. Neural Networks/24. ----- IMPLEMENTATION -----.html
13M	12. Neural Networks/25. Building networks.mp4
8.0K	12. Neural Networks/25. Building networks.vtt
13M	12. Neural Networks/26. Building networks II.mp4
8.0K	12. Neural Networks/26. Building networks II.vtt
6.3M	12. Neural Networks/27. Handling datasets.mp4
4.0K	12. Neural Networks/27. Handling datasets.vtt
18M	12. Neural Networks/28. Neural network example I - XOR problem.mp4
8.0K	12. Neural Networks/28. Neural network example I - XOR problem.vtt
36M	12. Neural Networks/29. Neural network example II - iris dataset.mp4
12K	12. Neural Networks/29. Neural network example II - iris dataset.vtt
17M	12. Neural Networks/3. Modeling human brain.mp4
12K	12. Neural Networks/3. Modeling human brain.vtt
6.6M	12. Neural Networks/4. Learning paradigms.mp4
4.0K	12. Neural Networks/4. Learning paradigms.vtt
17M	12. Neural Networks/5. Artificial neurons - the model.mp4
8.0K	12. Neural Networks/5. Artificial neurons - the model.vtt
15M	12. Neural Networks/6. Artificial neurons - activation functions.mp4
8.0K	12. Neural Networks/6. Artificial neurons - activation functions.vtt
12M	12. Neural Networks/7. Artificial neurons - an example.mp4
8.0K	12. Neural Networks/7. Artificial neurons - an example.vtt
11M	12. Neural Networks/8. Neural networks - the big picture.mp4
8.0K	12. Neural Networks/8. Neural networks - the big picture.vtt
5.3M	12. Neural Networks/9. Applications of neural networks.mp4
4.0K	12. Neural Networks/9. Applications of neural networks.vtt
44M	13. Machine Learning in Finance
5.7M	13. Machine Learning in Finance/1. Stock market basics.mp4
4.0K	13. Machine Learning in Finance/1. Stock market basics.vtt
8.0M	13. Machine Learning in Finance/2. Fetching data from Yahoo Finance.mp4
8.0K	13. Machine Learning in Finance/2. Fetching data from Yahoo Finance.vtt
11M	13. Machine Learning in Finance/3. Predicting stock prices logistic regression.mp4
8.0K	13. Machine Learning in Finance/3. Predicting stock prices logistic regression.vtt
7.2M	13. Machine Learning in Finance/4. Predicting stock prices k-nearest neighbor.mp4
4.0K	13. Machine Learning in Finance/4. Predicting stock prices k-nearest neighbor.vtt
8.8M	13. Machine Learning in Finance/5. Predicting stock prices support vector machine.mp4
4.0K	13. Machine Learning in Finance/5. Predicting stock prices support vector machine.vtt
3.6M	13. Machine Learning in Finance/6. Predicting stock prices - conclusion.mp4
4.0K	13. Machine Learning in Finance/6. Predicting stock prices - conclusion.vtt
112M	14. Computer Vision - Face Detection
5.8M	14. Computer Vision - Face Detection/1. Computer vision introduction.mp4
8.0K	14. Computer Vision - Face Detection/1. Computer vision introduction.vtt
8.8M	14. Computer Vision - Face Detection/10. Face detection implementation IV - tuning the parameters.mp4
4.0K	14. Computer Vision - Face Detection/10. Face detection implementation IV - tuning the parameters.vtt
21M	14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4
16K	14. Computer Vision - Face Detection/2. Viola-Jones algorithm.vtt
13M	14. Computer Vision - Face Detection/3. Haar-features.mp4
12K	14. Computer Vision - Face Detection/3. Haar-features.vtt
9.6M	14. Computer Vision - Face Detection/4. Integral images.mp4
8.0K	14. Computer Vision - Face Detection/4. Integral images.vtt
13M	14. Computer Vision - Face Detection/5. Boosting in computer vision.mp4
8.0K	14. Computer Vision - Face Detection/5. Boosting in computer vision.vtt
6.3M	14. Computer Vision - Face Detection/6. Cascading.mp4
8.0K	14. Computer Vision - Face Detection/6. Cascading.vtt
11M	14. Computer Vision - Face Detection/7. Face detection implementation I - installing OpenCV.mp4
8.0K	14. Computer Vision - Face Detection/7. Face detection implementation I - installing OpenCV.vtt
16M	14. Computer Vision - Face Detection/8. Face detection implementation II - CascadeClassifier.mp4
8.0K	14. Computer Vision - Face Detection/8. Face detection implementation II - CascadeClassifier.vtt
8.7M	14. Computer Vision - Face Detection/9. Face detection implementation III - CascadeClassifier parameters.mp4
8.0K	14. Computer Vision - Face Detection/9. Face detection implementation III - CascadeClassifier parameters.vtt
5.6M	15. Deep Learning
5.5M	15. Deep Learning/1. Types of neural networks.mp4
8.0K	15. Deep Learning/1. Types of neural networks.vtt
125M	16. Deep Neural Networks
7.7M	16. Deep Neural Networks/1. Deep neural networks.mp4
8.0K	16. Deep Neural Networks/1. Deep neural networks.vtt
4.0K	16. Deep Neural Networks/10. ----- IRIS DATASET -----.html
12M	16. Deep Neural Networks/11. Multiclass classification implementation I.mp4
8.0K	16. Deep Neural Networks/11. Multiclass classification implementation I.vtt
11M	16. Deep Neural Networks/12. Multiclass classification implementation II.mp4
8.0K	16. Deep Neural Networks/12. Multiclass classification implementation II.vtt
4.0K	16. Deep Neural Networks/13. ARTICLE Optimizers Explained (SGD, ADAGrad, ADAM...).html
16M	16. Deep Neural Networks/2. Activation functions revisited.mp4
12K	16. Deep Neural Networks/2. Activation functions revisited.vtt
11M	16. Deep Neural Networks/3. Loss functions.mp4
8.0K	16. Deep Neural Networks/3. Loss functions.vtt
13M	16. Deep Neural Networks/4. Gradient descent  stochastic gradient descent.mp4
12K	16. Deep Neural Networks/4. Gradient descent  stochastic gradient descent.vtt
8.3M	16. Deep Neural Networks/5. Hyperparameters.mp4
8.0K	16. Deep Neural Networks/5. Hyperparameters.vtt
4.0K	16. Deep Neural Networks/6. ----- XOR PROBLEM -----.html
16M	16. Deep Neural Networks/7. Deep neural network implementation I.mp4
8.0K	16. Deep Neural Networks/7. Deep neural network implementation I.vtt
16M	16. Deep Neural Networks/8. Deep neural network implementation II.mp4
8.0K	16. Deep Neural Networks/8. Deep neural network implementation II.vtt
19M	16. Deep Neural Networks/9. Deep neural network implementation III.mp4
8.0K	16. Deep Neural Networks/9. Deep neural network implementation III.vtt
169M	17. Convolutional Neural Networks
4.0K	17. Convolutional Neural Networks/1. ----- CNN THEORY -----.html
17M	17. Convolutional Neural Networks/10. Handwritten digit classification I.mp4
8.0K	17. Convolutional Neural Networks/10. Handwritten digit classification I.vtt
16M	17. Convolutional Neural Networks/11. Handwritten digit classification II.mp4
12K	17. Convolutional Neural Networks/11. Handwritten digit classification II.vtt
11M	17. Convolutional Neural Networks/12. Handwritten digit classification III.mp4
8.0K	17. Convolutional Neural Networks/12. Handwritten digit classification III.vtt
4.0K	17. Convolutional Neural Networks/13. ARTICLE Regularization (L1, L2 and dropout).html
9.6M	17. Convolutional Neural Networks/2. Convolutional neural networks basics.mp4
8.0K	17. Convolutional Neural Networks/2. Convolutional neural networks basics.vtt
7.0M	17. Convolutional Neural Networks/3. Feature selection.mp4
8.0K	17. Convolutional Neural Networks/3. Feature selection.vtt
6.4M	17. Convolutional Neural Networks/4. Convolutional neural networks - kernel.mp4
8.0K	17. Convolutional Neural Networks/4. Convolutional neural networks - kernel.vtt
7.8M	17. Convolutional Neural Networks/5. Convolutional neural networks - kernel II.mp4
8.0K	17. Convolutional Neural Networks/5. Convolutional neural networks - kernel II.vtt
9.9M	17. Convolutional Neural Networks/6. Convolutional neural networks - pooling.mp4
8.0K	17. Convolutional Neural Networks/6. Convolutional neural networks - pooling.vtt
8.5M	17. Convolutional Neural Networks/7. Convolutional neural networks - flattening.mp4
8.0K	17. Convolutional Neural Networks/7. Convolutional neural networks - flattening.vtt
6.1M	17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.mp4
71M	17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt
4.0K	17. Convolutional Neural Networks/9. ----- HANDWRITTEN DIGITS -----.html
141M	18. Recurrent Neural Networks
4.0K	18. Recurrent Neural Networks/1. ----- RNN THEORY -----.html
5.0M	18. Recurrent Neural Networks/10. Stock price prediction example III.mp4
4.0K	18. Recurrent Neural Networks/10. Stock price prediction example III.vtt
15M	18. Recurrent Neural Networks/11. Stock price prediction example IV.mp4
8.0K	18. Recurrent Neural Networks/11. Stock price prediction example IV.vtt
6.8M	18. Recurrent Neural Networks/12. Stock price prediction example V.mp4
4.0K	18. Recurrent Neural Networks/12. Stock price prediction example V.vtt
16M	18. Recurrent Neural Networks/13. Stock price prediction example VI.mp4
8.0K	18. Recurrent Neural Networks/13. Stock price prediction example VI.vtt
7.3M	18. Recurrent Neural Networks/14. Stock price prediction example VII.mp4
4.0K	18. Recurrent Neural Networks/14. Stock price prediction example VII.vtt
7.6M	18. Recurrent Neural Networks/2. Why do recurrent neural networks are important.mp4
8.0K	18. Recurrent Neural Networks/2. Why do recurrent neural networks are important.vtt
13M	18. Recurrent Neural Networks/3. Recurrent neural networks basics.mp4
12K	18. Recurrent Neural Networks/3. Recurrent neural networks basics.vtt
20M	18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4
12K	18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.vtt
18M	18. Recurrent Neural Networks/5. Long-short term memory (LTSM) model.mp4
16K	18. Recurrent Neural Networks/5. Long-short term memory (LTSM) model.vtt
5.1M	18. Recurrent Neural Networks/6. Gated recurrent units (GRUs).mp4
4.0K	18. Recurrent Neural Networks/6. Gated recurrent units (GRUs).vtt
4.0K	18. Recurrent Neural Networks/7. --- STOCK MAKRET ---.html
12M	18. Recurrent Neural Networks/8. Stock price prediction example I.mp4
8.0K	18. Recurrent Neural Networks/8. Stock price prediction example I.vtt
19M	18. Recurrent Neural Networks/9. Stock price prediction example II.mp4
8.0K	18. Recurrent Neural Networks/9. Stock price prediction example II.vtt
22M	19. Course Materials (DOWNLOADS)
4.0K	19. Course Materials (DOWNLOADS)/1. Course materials.html
22M	19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip
4.0K	19. Course Materials (DOWNLOADS)/2. House prices csv file.html
4.0K	19. Course Materials (DOWNLOADS)/2.1 house_prices.csv.csv
79M	2. Installations
4.4M	2. Installations/1. Installing Anaconda.mp4
4.0K	2. Installations/1. Installing Anaconda.vtt
2.9M	2. Installations/2. Installing Spyder.mp4
4.0K	2. Installations/2. Installing Spyder.vtt
6.0M	2. Installations/3. Installing Keras and TensorFlow.mp4
66M	2. Installations/3. Installing Keras and TensorFlow.vtt
12K	20. DISCOUNT FOR OTHER COURSES!
8.0K	20. DISCOUNT FOR OTHER COURSES!/1. 90% OFF For Other Courses.html
106M	3. Linear Regression
27M	3. Linear Regression/1. Linear regression introduction.mp4
12K	3. Linear Regression/1. Linear regression introduction.vtt
43M	3. Linear Regression/2. Linear regression theory - optimization.mp4
12K	3. Linear Regression/2. Linear regression theory - optimization.vtt
12M	3. Linear Regression/3. Linear regression theory - gradient descent.mp4
8.0K	3. Linear Regression/3. Linear regression theory - gradient descent.vtt
17M	3. Linear Regression/4. Linear regression implementation I.mp4
8.0K	3. Linear Regression/4. Linear regression implementation I.vtt
8.8M	3. Linear Regression/5. Linear regression implementation II.mp4
8.0K	3. Linear Regression/5. Linear regression implementation II.vtt
86M	4. Logistic Regression
18M	4. Logistic Regression/1. Logistic regression introduction.mp4
16K	4. Logistic Regression/1. Logistic regression introduction.vtt
6.7M	4. Logistic Regression/2. Logistic regression introduction II.mp4
8.0K	4. Logistic Regression/2. Logistic regression introduction II.vtt
14M	4. Logistic Regression/3. Logistic regression example I - sigmoid function.mp4
8.0K	4. Logistic Regression/3. Logistic regression example I - sigmoid function.vtt
22M	4. Logistic Regression/4. Logistic regression example II- credit scoring.mp4
12K	4. Logistic Regression/4. Logistic regression example II- credit scoring.vtt
11M	4. Logistic Regression/5. Logistic regression example III - credit scoring.mp4
8.0K	4. Logistic Regression/5. Logistic regression example III - credit scoring.vtt
12M	4. Logistic Regression/6. Cross validation introduction.mp4
8.0K	4. Logistic Regression/6. Cross validation introduction.vtt
4.2M	4. Logistic Regression/7. Cross validation example.mp4
4.0K	4. Logistic Regression/7. Cross validation example.vtt
52M	5. K-Nearest Neighbor Classifier
9.5M	5. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.mp4
8.0K	5. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.vtt
8.2M	5. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.mp4
8.0K	5. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.vtt
8.7M	5. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.mp4
8.0K	5. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.vtt
4.0K	5. K-Nearest Neighbor Classifier/4. UPDATE bias and variance.html
7.0M	5. K-Nearest Neighbor Classifier/5. K-nearest neighbor implementation I.mp4
4.0K	5. K-Nearest Neighbor Classifier/5. K-nearest neighbor implementation I.vtt
10M	5. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.mp4
8.0K	5. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.vtt
8.0M	5. K-Nearest Neighbor Classifier/7. K-nearest neighbor implementation III.mp4
8.0K	5. K-Nearest Neighbor Classifier/7. K-nearest neighbor implementation III.vtt
90M	6. Naive Bayes Classifier
18M	6. Naive Bayes Classifier/1. Naive Bayes classifier introduction I.mp4
12K	6. Naive Bayes Classifier/1. Naive Bayes classifier introduction I.vtt
8.5M	6. Naive Bayes Classifier/2. Naive Bayes classifier introduction II - illustration.mp4
8.0K	6. Naive Bayes Classifier/2. Naive Bayes classifier introduction II - illustration.vtt
8.1M	6. Naive Bayes Classifier/3. Naive Bayes classifier implementation.mp4
8.0K	6. Naive Bayes Classifier/3. Naive Bayes classifier implementation.vtt
4.0K	6. Naive Bayes Classifier/4. ----- TEXT CLASSIFICATION -----.html
23M	6. Naive Bayes Classifier/5. Text clustering - basics.mp4
12K	6. Naive Bayes Classifier/5. Text clustering - basics.vtt
11M	6. Naive Bayes Classifier/6. Text clustering - inverse document frequency (TF-IDF).mp4
8.0K	6. Naive Bayes Classifier/6. Text clustering - inverse document frequency (TF-IDF).vtt
24M	6. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4
12K	6. Naive Bayes Classifier/7. Naive Bayes example - clustering news.vtt
97M	7. Support Vector Machine (SVM)
21M	7. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4
12K	7. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.vtt
18M	7. Support Vector Machine (SVM)/2. Support vector machine introduction II - non-linear case.mp4
12K	7. Support Vector Machine (SVM)/2. Support vector machine introduction II - non-linear case.vtt
10M	7. Support Vector Machine (SVM)/3. Support vector machine introduction III - kernels.mp4
8.0K	7. Support Vector Machine (SVM)/3. Support vector machine introduction III - kernels.vtt
11M	7. Support Vector Machine (SVM)/4. Support vector machine example I - simple.mp4
8.0K	7. Support Vector Machine (SVM)/4. Support vector machine example I - simple.vtt
22M	7. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4
12K	7. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.vtt
17M	7. Support Vector Machine (SVM)/6. Support vector machine example III - digit recognition.mp4
8.0K	7. Support Vector Machine (SVM)/6. Support vector machine example III - digit recognition.vtt
128M	8. Decision Trees
12M	8. Decision Trees/1. Decision trees introduction - basics.mp4
12K	8. Decision Trees/1. Decision trees introduction - basics.vtt
20M	8. Decision Trees/2. Decision trees introduction - entropy.mp4
12K	8. Decision Trees/2. Decision trees introduction - entropy.vtt
47M	8. Decision Trees/3. Decision trees introduction - information gain.mp4
12K	8. Decision Trees/3. Decision trees introduction - information gain.vtt
4.2M	8. Decision Trees/4. Decision trees introduction - pros and cons.mp4
4.0K	8. Decision Trees/4. Decision trees introduction - pros and cons.vtt
14M	8. Decision Trees/5. Decision trees implementation.mp4
12K	8. Decision Trees/5. Decision trees implementation.vtt
6.7M	8. Decision Trees/6. Decision trees implementation II.mp4
6.7M	8. Decision Trees/6. Decision trees implementation II.vtt
19M	8. Decision Trees/7. The Gini-index approach.mp4
12K	8. Decision Trees/7. The Gini-index approach.vtt
56M	9. Random Forest Classifier
9.9M	9. Random Forest Classifier/1. Pruning introduction.mp4
8.0K	9. Random Forest Classifier/1. Pruning introduction.vtt
12M	9. Random Forest Classifier/2. Bagging introduction.mp4
12K	9. Random Forest Classifier/2. Bagging introduction.vtt
8.8M	9. Random Forest Classifier/3. Random forest classifier introduction.mp4
8.0K	9. Random Forest Classifier/3. Random forest classifier introduction.vtt
12M	9. Random Forest Classifier/4. Random forests example I - iris dataset.mp4
8.0K	9. Random Forest Classifier/4. Random forests example I - iris dataset.vtt
4.3M	9. Random Forest Classifier/5. Random forests example II - credit scoring.mp4
4.0K	9. Random Forest Classifier/5. Random forests example II - credit scoring.vtt
9.2M	9. Random Forest Classifier/6. Random forests example III - parameter tuning.mp4
8.0K	9. Random Forest Classifier/6. Random forests example III - parameter tuning.vtt
1.9G	total