[FreeCourseSite com] Udemy – Introduction to Machine Learning & Deep Learning in Python
![[FreeCourseSite com] Udemy - Introduction to Machine Learning & Deep Learning in Python](https://t64.pixhost.to/thumbs/101/250273351_7-convolutional-neural-networks-flattening_c.jpg)
[FreeCourseSite com] Udemy – Introduction to Machine Learning & Deep Learning in Python | Tutorial | MP4,URL,VTT | 1.83 GiB
248 kb/s 1280×720 | AAC 192 kb/s 2 CH
16K 0. Websites you may like 4.0K 0. Websites you may like/[CourseClub.ME].url 4.0K 0. Websites you may like/[FCS Forum].url 4.0K 0. Websites you may like/[FreeCourseSite.com].url 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
File: 1. Introduction.mp4 Size: 3645096 bytes (3.48 MiB), duration: 00:01:57, avg.bitrate: 249 kb/s Audio: aac, 48000 Hz, stereo (und) Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng)
Download [FreeCourseSite com] Udemy – Introduction to Machine Learning & Deep Learning in Python ( Size: 1.83 GiB ) :
Filehosts: Nitroflare, Rapidgator
Download from Nitroflare
2 Link/s
Download
https://nitro.download/view/BC5DA220FE84636/cabdaUdIntoMaLe%26DeLeinPy.z01
https://nitro.download/view/DE5007E07A98CD6/cabdaUdIntoMaLe%26DeLeinPy.zipDownload from Rapidgator
https://rapidgator.net/file/40684ce45b60f7c05580a2abebe1084b/cabdaUdIntoMaLe.html
https://rapidgator.net/file/b060c9ecd8c2cb6c87abd70fb72d3c46/cabdaUdIntoMaLe.html
