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[UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python
大小 1.83 GB
文件数 300
Info Hash: E5CD7A86473F94416CFBD436C50A552335331427
收录时间 2026-01-24 02:55:03
更新时间 2026-01-24 02:55:03
文件列表 (300)
17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt
70.54 MB
udemycoursedownloader.com.url
132 B
01. Introduction/1. Introduction.mp4
3.48 MB
01. Introduction/1. Introduction.vtt
2.41 KB
01. Introduction/2. Introduction to machine learning.mp4
8.05 MB
01. Introduction/2. Introduction to machine learning.vtt
6.29 KB
02. Installations/1. Installing Anaconda.mp4
4.32 MB
02. Installations/1. Installing Anaconda.vtt
2.28 KB
02. Installations/2. Installing Spyder.mp4
2.8 MB
02. Installations/2. Installing Spyder.vtt
1.83 KB
02. Installations/3. Installing Keras and TensorFlow.mp4
5.95 MB
02. Installations/3. Installing Keras and TensorFlow.vtt
65.3 MB
03. Linear Regression/1. Linear regression introduction.mp4
26.43 MB
03. Linear Regression/1. Linear regression introduction.vtt
9.38 KB
03. Linear Regression/2. Linear regression theory - optimization.mp4
42.28 MB
03. Linear Regression/2. Linear regression theory - optimization.vtt
8.22 KB
03. Linear Regression/3. Linear regression theory - gradient descent.mp4
11.1 MB
03. Linear Regression/3. Linear regression theory - gradient descent.vtt
7.86 KB
03. Linear Regression/4. Linear regression implementation I.mp4
16.69 MB
03. Linear Regression/4. Linear regression implementation I.vtt
7.45 KB
03. Linear Regression/5. Linear regression implementation II.mp4
8.78 MB
03. Linear Regression/5. Linear regression implementation II.vtt
5.4 KB
04. Logistic Regression/1. Logistic regression introduction.mp4
17.63 MB
04. Logistic Regression/1. Logistic regression introduction.vtt
13.76 KB
04. Logistic Regression/2. Logistic regression introduction II.mp4
6.67 MB
04. Logistic Regression/2. Logistic regression introduction II.vtt
4.38 KB
04. Logistic Regression/3. Logistic regression example I - sigmoid function.mp4
13.04 MB
04. Logistic Regression/3. Logistic regression example I - sigmoid function.vtt
7.99 KB
04. Logistic Regression/4. Logistic regression example II- credit scoring.mp4
21.33 MB
04. Logistic Regression/4. Logistic regression example II- credit scoring.vtt
8.19 KB
04. Logistic Regression/5. Logistic regression example III - credit scoring.mp4
10.87 MB
04. Logistic Regression/5. Logistic regression example III - credit scoring.vtt
6.38 KB
04. Logistic Regression/6. Cross validation introduction.mp4
11.72 MB
04. Logistic Regression/6. Cross validation introduction.vtt
6.02 KB
04. Logistic Regression/7. Cross validation example.mp4
4.15 MB
04. Logistic Regression/7. Cross validation example.vtt
2.6 KB
05. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.mp4
9.48 MB
05. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.vtt
6.46 KB
05. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.mp4
8.11 MB
05. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.vtt
4.68 KB
05. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.mp4
8.61 MB
05. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.vtt
6.29 KB
05. K-Nearest Neighbor Classifier/4. UPDATE bias and variance.html
333 B
05. K-Nearest Neighbor Classifier/5. K-nearest neighbor implementation I.mp4
6.95 MB
05. K-Nearest Neighbor Classifier/5. K-nearest neighbor implementation I.vtt
3.3 KB
05. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.mp4
9.96 MB
05. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.vtt
6.61 KB
05. K-Nearest Neighbor Classifier/7. K-nearest neighbor implementation III.mp4
7.93 MB
05. K-Nearest Neighbor Classifier/7. K-nearest neighbor implementation III.vtt
4.54 KB
06. Naive Bayes Classifier/1. Naive Bayes classifier introduction I.mp4
17.44 MB
06. Naive Bayes Classifier/1. Naive Bayes classifier introduction I.vtt
9.45 KB
06. Naive Bayes Classifier/2. Naive Bayes classifier introduction II - illustration.mp4
8.43 MB
06. Naive Bayes Classifier/2. Naive Bayes classifier introduction II - illustration.vtt
4.83 KB
06. Naive Bayes Classifier/3. Naive Bayes classifier implementation.mp4
8 MB
06. Naive Bayes Classifier/3. Naive Bayes classifier implementation.vtt
5.04 KB
06. Naive Bayes Classifier/4. ----- TEXT CLASSIFICATION -----.html
193 B
06. Naive Bayes Classifier/5. Text clustering - basics.mp4
22.12 MB
06. Naive Bayes Classifier/5. Text clustering - basics.vtt
9.5 KB
06. Naive Bayes Classifier/6. Text clustering - inverse document frequency (TF-IDF).mp4
10.02 MB
06. Naive Bayes Classifier/6. Text clustering - inverse document frequency (TF-IDF).vtt
5.18 KB
06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4
23.33 MB
06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.vtt
10.45 KB
07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4
20.76 MB
07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.vtt
9.88 KB
07. Support Vector Machine (SVM)/2. Support vector machine introduction II - non-linear case.mp4
17.22 MB
07. Support Vector Machine (SVM)/2. Support vector machine introduction II - non-linear case.vtt
8.09 KB
07. Support Vector Machine (SVM)/3. Support vector machine introduction III - kernels.mp4
9.9 MB
07. Support Vector Machine (SVM)/3. Support vector machine introduction III - kernels.vtt
4.95 KB
07. Support Vector Machine (SVM)/4. Support vector machine example I - simple.mp4
10.48 MB
07. Support Vector Machine (SVM)/4. Support vector machine example I - simple.vtt
4.51 KB
07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4
21.7 MB
07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.vtt
8.48 KB
07. Support Vector Machine (SVM)/6. Support vector machine example III - digit recognition.mp4
16.43 MB
07. Support Vector Machine (SVM)/6. Support vector machine example III - digit recognition.vtt
7.43 KB
08. Decision Trees/1. Decision trees introduction - basics.mp4
11.73 MB
08. Decision Trees/1. Decision trees introduction - basics.vtt
8.83 KB
08. Decision Trees/2. Decision trees introduction - entropy.mp4
19.29 MB
08. Decision Trees/2. Decision trees introduction - entropy.vtt
9.84 KB
08. Decision Trees/3. Decision trees introduction - information gain.mp4
46.96 MB
08. Decision Trees/3. Decision trees introduction - information gain.vtt
8.77 KB
08. Decision Trees/4. Decision trees introduction - pros and cons.mp4
4.19 MB
08. Decision Trees/4. Decision trees introduction - pros and cons.vtt
2.88 KB
08. Decision Trees/5. Decision trees implementation.mp4
13.6 MB
08. Decision Trees/5. Decision trees implementation.vtt
8.43 KB
08. Decision Trees/6. Decision trees implementation II.mp4
6.66 MB
08. Decision Trees/6. Decision trees implementation II.vtt
6.66 MB
08. Decision Trees/7. The Gini-index approach.mp4
18.75 MB
08. Decision Trees/7. The Gini-index approach.vtt
10.09 KB
09. Random Forest Classifier/1. Pruning introduction.mp4
9.83 MB
09. Random Forest Classifier/1. Pruning introduction.vtt
7.4 KB
09. Random Forest Classifier/2. Bagging introduction.mp4
11.72 MB
09. Random Forest Classifier/2. Bagging introduction.vtt
9.1 KB
09. Random Forest Classifier/3. Random forest classifier introduction.mp4
8.72 MB
09. Random Forest Classifier/3. Random forest classifier introduction.vtt
6.33 KB
09. Random Forest Classifier/4. Random forests example I - iris dataset.mp4
11.36 MB
09. Random Forest Classifier/4. Random forests example I - iris dataset.vtt
5.22 KB
09. Random Forest Classifier/5. Random forests example II - credit scoring.mp4
4.21 MB
09. Random Forest Classifier/5. Random forests example II - credit scoring.vtt
1.95 KB
09. Random Forest Classifier/6. Random forests example III - parameter tuning.mp4
9.19 MB
09. Random Forest Classifier/6. Random forests example III - parameter tuning.vtt
5.09 KB
10. Boosting/1. Boosting introduction - basics.mp4
8.39 MB
10. Boosting/1. Boosting introduction - basics.vtt
4.95 KB
10. Boosting/2. Boosting introduction - illustration.mp4
8.17 MB
10. Boosting/2. Boosting introduction - illustration.vtt
6.27 KB
10. Boosting/3. Boosting introduction - equations.mp4
13.71 MB
10. Boosting/3. Boosting introduction - equations.vtt
7.76 KB
10. Boosting/4. Boosting introduction - final formula.mp4
13.01 MB
10. Boosting/4. Boosting introduction - final formula.vtt
9.02 KB
10. Boosting/5. Boosting implementation I - iris dataset.mp4
12.33 MB
10. Boosting/5. Boosting implementation I - iris dataset.vtt
6.28 KB
10. Boosting/6. Boosting implementation II -tuning.mp4
10.35 MB
10. Boosting/6. Boosting implementation II -tuning.vtt
5.19 KB
10. Boosting/7. Boosting vs. bagging.mp4
5.21 MB
10. Boosting/7. Boosting vs. bagging.vtt
3.51 KB
11. Clustering/1. Principal component anlysis introduction.mp4
8.58 MB
11. Clustering/1. Principal component anlysis introduction.vtt
4.2 KB
11. Clustering/2. Principal component analysis example.mp4
14 MB
11. Clustering/2. Principal component analysis example.vtt
6.46 KB
11. Clustering/3. K-means clustering introduction I.mp4
13.67 MB
11. Clustering/3. K-means clustering introduction I.vtt
6.9 KB
11. Clustering/4. K-means clustering introduction II.mp4
9.47 MB
11. Clustering/4. K-means clustering introduction II.vtt
4.53 KB
11. Clustering/5. K-means clustering example.mp4
9.43 MB
11. Clustering/5. K-means clustering example.vtt
5.44 KB
11. Clustering/6. K-means clustering - text clustering.mp4
18.86 MB
11. Clustering/6. K-means clustering - text clustering.vtt
7.73 KB
11. Clustering/7. DBSCAN introduction.mp4
11.05 MB
11. Clustering/7. DBSCAN introduction.vtt
5.41 KB
11. Clustering/8. DBSCAN example.mp4
7.88 MB
11. Clustering/8. DBSCAN example.vtt
5.02 KB
11. Clustering/9. Hierarchical clustering introduction.mp4
13.66 MB
11. Clustering/9. Hierarchical clustering introduction.vtt
7 KB
11. Clustering/10. Hierarchical clustering example.mp4
11.96 MB
11. Clustering/10. Hierarchical clustering example.vtt
6.19 KB
12. Neural Networks/1. ---- NEURAL NETWORKS INTRODUCTION ----.html
35 B
12. Neural Networks/2. Axons and neurons in the human brain.mp4
19.24 MB
12. Neural Networks/2. Axons and neurons in the human brain.vtt
9.37 KB
12. Neural Networks/3. Modeling human brain.mp4
16.17 MB
12. Neural Networks/3. Modeling human brain.vtt
8.31 KB
12. Neural Networks/4. Learning paradigms.mp4
6.51 MB
12. Neural Networks/4. Learning paradigms.vtt
3 KB
12. Neural Networks/5. Artificial neurons - the model.mp4
16.55 MB
12. Neural Networks/5. Artificial neurons - the model.vtt
7.41 KB
12. Neural Networks/6. Artificial neurons - activation functions.mp4
14.24 MB
12. Neural Networks/6. Artificial neurons - activation functions.vtt
6.55 KB
12. Neural Networks/7. Artificial neurons - an example.mp4
11.37 MB
12. Neural Networks/7. Artificial neurons - an example.vtt
4.81 KB
12. Neural Networks/8. Neural networks - the big picture.mp4
10.78 MB
12. Neural Networks/8. Neural networks - the big picture.vtt
4.83 KB
12. Neural Networks/9. Applications of neural networks.mp4
5.23 MB
12. Neural Networks/9. Applications of neural networks.vtt
2.39 KB
12. Neural Networks/10. ---- BACKPROPAGATION ----.html
42 B
12. Neural Networks/11. Feedforward neural networks.mp4
18.42 MB
12. Neural Networks/11. Feedforward neural networks.vtt
8.88 KB
12. Neural Networks/12. Optimization - cost function.mp4
25.89 MB
12. Neural Networks/12. Optimization - cost function.vtt
11.85 KB
12. Neural Networks/13. Simplified feedforward network.mp4
19.42 MB
12. Neural Networks/13. Simplified feedforward network.vtt
9.03 KB
12. Neural Networks/14. Feedforward neural network topology.mp4
14.73 MB
12. Neural Networks/14. Feedforward neural network topology.vtt
6.56 KB
12. Neural Networks/15. The learning algorithm.mp4
13.26 MB
12. Neural Networks/15. The learning algorithm.vtt
6.03 KB
12. Neural Networks/16. Error calculation.mp4
13.74 MB
12. Neural Networks/16. Error calculation.vtt
6.51 KB
12. Neural Networks/17. Gradient calculation I - output layer.mp4
20.28 MB
12. Neural Networks/17. Gradient calculation I - output layer.vtt
9.29 KB
12. Neural Networks/18. Gradient calculation II - hidden layer.mp4
9.18 MB
12. Neural Networks/18. Gradient calculation II - hidden layer.vtt
4.09 KB
12. Neural Networks/19. Backpropagation.mp4
12.67 MB
12. Neural Networks/19. Backpropagation.vtt
5.72 KB
12. Neural Networks/20. Backpropagation II.mp4
4.68 MB
12. Neural Networks/20. Backpropagation II.vtt
2 KB
12. Neural Networks/21. Applications of neural networks I - character recognition.mp4
8.78 MB
12. Neural Networks/21. Applications of neural networks I - character recognition.vtt
4.43 KB
12. Neural Networks/22. Applications of neural networks II - stock market forecast.mp4
9.53 MB
12. Neural Networks/22. Applications of neural networks II - stock market forecast.vtt
4.69 KB
12. Neural Networks/23. Deep learning.mp4
9.47 MB
12. Neural Networks/23. Deep learning.vtt
4.58 KB
12. Neural Networks/24. ----- IMPLEMENTATION -----.html
53 B
12. Neural Networks/25. Building networks.mp4
12.75 MB
12. Neural Networks/25. Building networks.vtt
6.53 KB
12. Neural Networks/26. Building networks II.mp4
12.02 MB
12. Neural Networks/26. Building networks II.vtt
5.93 KB
12. Neural Networks/27. Handling datasets.mp4
6.21 MB
12. Neural Networks/27. Handling datasets.vtt
3.1 KB
12. Neural Networks/28. Neural network example I - XOR problem.mp4
17.61 MB
12. Neural Networks/28. Neural network example I - XOR problem.vtt
7.83 KB
12. Neural Networks/29. Neural network example II - iris dataset.mp4
35.59 MB
12. Neural Networks/29. Neural network example II - iris dataset.vtt
8.14 KB
13. Machine Learning in Finance/1. Stock market basics.mp4
5.63 MB
13. Machine Learning in Finance/1. Stock market basics.vtt
3.53 KB
13. Machine Learning in Finance/2. Fetching data from Yahoo Finance.mp4
7.96 MB
13. Machine Learning in Finance/2. Fetching data from Yahoo Finance.vtt
4.28 KB
13. Machine Learning in Finance/3. Predicting stock prices logistic regression.mp4
10.76 MB
13. Machine Learning in Finance/3. Predicting stock prices logistic regression.vtt
4.31 KB
13. Machine Learning in Finance/4. Predicting stock prices k-nearest neighbor.mp4
7.1 MB
13. Machine Learning in Finance/4. Predicting stock prices k-nearest neighbor.vtt
3.28 KB
13. Machine Learning in Finance/5. Predicting stock prices support vector machine.mp4
8.71 MB
13. Machine Learning in Finance/5. Predicting stock prices support vector machine.vtt
3.62 KB
13. Machine Learning in Finance/6. Predicting stock prices - conclusion.mp4
3.51 MB
13. Machine Learning in Finance/6. Predicting stock prices - conclusion.vtt
1.93 KB
14. Computer Vision - Face Detection/1. Computer vision introduction.mp4
5.76 MB
14. Computer Vision - Face Detection/1. Computer vision introduction.vtt
4.41 KB
14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4
20.94 MB
14. Computer Vision - Face Detection/2. Viola-Jones algorithm.vtt
12.67 KB
14. Computer Vision - Face Detection/3. Haar-features.mp4
12.64 MB
14. Computer Vision - Face Detection/3. Haar-features.vtt
8.93 KB
14. Computer Vision - Face Detection/4. Integral images.mp4
9.58 MB
14. Computer Vision - Face Detection/4. Integral images.vtt
6.84 KB
14. Computer Vision - Face Detection/5. Boosting in computer vision.mp4
12.32 MB
14. Computer Vision - Face Detection/5. Boosting in computer vision.vtt
6.99 KB
14. Computer Vision - Face Detection/6. Cascading.mp4
6.23 MB
14. Computer Vision - Face Detection/6. Cascading.vtt
4.83 KB
14. Computer Vision - Face Detection/7. Face detection implementation I - installing OpenCV.mp4
10.56 MB
14. Computer Vision - Face Detection/7. Face detection implementation I - installing OpenCV.vtt
4.77 KB
14. Computer Vision - Face Detection/8. Face detection implementation II - CascadeClassifier.mp4
15.92 MB
14. Computer Vision - Face Detection/8. Face detection implementation II - CascadeClassifier.vtt
7.46 KB
14. Computer Vision - Face Detection/9. Face detection implementation III - CascadeClassifier parameters.mp4
8.6 MB
14. Computer Vision - Face Detection/9. Face detection implementation III - CascadeClassifier parameters.vtt
4.43 KB
14. Computer Vision - Face Detection/10. Face detection implementation IV - tuning the parameters.mp4
8.73 MB
14. Computer Vision - Face Detection/10. Face detection implementation IV - tuning the parameters.vtt
3.26 KB
15. Deep Learning/1. Types of neural networks.mp4
5.49 MB
15. Deep Learning/1. Types of neural networks.vtt
4.37 KB
16. Deep Neural Networks/1. Deep neural networks.mp4
7.65 MB
16. Deep Neural Networks/1. Deep neural networks.vtt
6.29 KB
16. Deep Neural Networks/2. Activation functions revisited.mp4
15.42 MB
16. Deep Neural Networks/2. Activation functions revisited.vtt
10.78 KB
16. Deep Neural Networks/3. Loss functions.mp4
10.39 MB
16. Deep Neural Networks/3. Loss functions.vtt
6.77 KB
16. Deep Neural Networks/4. Gradient descent stochastic gradient descent.mp4
12.26 MB
16. Deep Neural Networks/4. Gradient descent stochastic gradient descent.vtt
8.3 KB
16. Deep Neural Networks/5. Hyperparameters.mp4
8.26 MB
16. Deep Neural Networks/5. Hyperparameters.vtt
6.2 KB
16. Deep Neural Networks/6. ----- XOR PROBLEM -----.html
117 B
16. Deep Neural Networks/7. Deep neural network implementation I.mp4
15.09 MB
16. Deep Neural Networks/7. Deep neural network implementation I.vtt
7.11 KB
16. Deep Neural Networks/8. Deep neural network implementation II.mp4
15.81 MB
16. Deep Neural Networks/8. Deep neural network implementation II.vtt
7.37 KB
16. Deep Neural Networks/9. Deep neural network implementation III.mp4
18.4 MB
16. Deep Neural Networks/9. Deep neural network implementation III.vtt
6.8 KB
16. Deep Neural Networks/10. ----- IRIS DATASET -----.html
141 B
16. Deep Neural Networks/11. Multiclass classification implementation I.mp4
11.1 MB
16. Deep Neural Networks/11. Multiclass classification implementation I.vtt
6.04 KB
16. Deep Neural Networks/12. Multiclass classification implementation II.mp4
10.31 MB
16. Deep Neural Networks/12. Multiclass classification implementation II.vtt
5.58 KB
16. Deep Neural Networks/13. ARTICLE Optimizers Explained (SGD, ADAGrad, ADAM...).html
248 B
17. Convolutional Neural Networks/1. ----- CNN THEORY -----.html
130 B
17. Convolutional Neural Networks/2. Convolutional neural networks basics.mp4
9.58 MB
17. Convolutional Neural Networks/2. Convolutional neural networks basics.vtt
6.96 KB
17. Convolutional Neural Networks/3. Feature selection.mp4
6.95 MB
17. Convolutional Neural Networks/3. Feature selection.vtt
4.83 KB
17. Convolutional Neural Networks/4. Convolutional neural networks - kernel.mp4
6.34 MB
17. Convolutional Neural Networks/4. Convolutional neural networks - kernel.vtt
4.83 KB
17. Convolutional Neural Networks/5. Convolutional neural networks - kernel II.mp4
7.79 MB
17. Convolutional Neural Networks/5. Convolutional neural networks - kernel II.vtt
6.36 KB
17. Convolutional Neural Networks/6. Convolutional neural networks - pooling.mp4
9.85 MB
17. Convolutional Neural Networks/6. Convolutional neural networks - pooling.vtt
6.77 KB
17. Convolutional Neural Networks/7. Convolutional neural networks - flattening.mp4
8.41 MB
17. Convolutional Neural Networks/7. Convolutional neural networks - flattening.vtt
5.61 KB
17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.mp4
6.02 MB
Udemy Course downloader.txt
94 B
17. Convolutional Neural Networks/9. ----- HANDWRITTEN DIGITS -----.html
164 B
17. Convolutional Neural Networks/10. Handwritten digit classification I.mp4
16.48 MB
17. Convolutional Neural Networks/10. Handwritten digit classification I.vtt
6.92 KB
17. Convolutional Neural Networks/11. Handwritten digit classification II.mp4
15.65 MB
17. Convolutional Neural Networks/11. Handwritten digit classification II.vtt
9.19 KB
17. Convolutional Neural Networks/12. Handwritten digit classification III.mp4
10.44 MB
17. Convolutional Neural Networks/12. Handwritten digit classification III.vtt
5.51 KB
17. Convolutional Neural Networks/13. ARTICLE Regularization (L1, L2 and dropout).html
232 B
18. Recurrent Neural Networks/1. ----- RNN THEORY -----.html
146 B
18. Recurrent Neural Networks/2. Why do recurrent neural networks are important.mp4
7.52 MB
18. Recurrent Neural Networks/2. Why do recurrent neural networks are important.vtt
5.08 KB
18. Recurrent Neural Networks/3. Recurrent neural networks basics.mp4
12.89 MB
18. Recurrent Neural Networks/3. Recurrent neural networks basics.vtt
9.92 KB
18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4
19.63 MB
18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.vtt
10.57 KB
18. Recurrent Neural Networks/5. Long-short term memory (LTSM) model.mp4
17.03 MB
18. Recurrent Neural Networks/5. Long-short term memory (LTSM) model.vtt
12.34 KB
18. Recurrent Neural Networks/6. Gated recurrent units (GRUs).mp4
5.03 MB
18. Recurrent Neural Networks/6. Gated recurrent units (GRUs).vtt
3.91 KB
18. Recurrent Neural Networks/7. --- STOCK MAKRET ---.html
124 B
18. Recurrent Neural Networks/8. Stock price prediction example I.mp4
11.09 MB
18. Recurrent Neural Networks/8. Stock price prediction example I.vtt
6.57 KB
18. Recurrent Neural Networks/9. Stock price prediction example II.mp4
18.37 MB
18. Recurrent Neural Networks/9. Stock price prediction example II.vtt
4.6 KB
18. Recurrent Neural Networks/10. Stock price prediction example III.mp4
4.98 MB
18. Recurrent Neural Networks/10. Stock price prediction example III.vtt
2.64 KB
18. Recurrent Neural Networks/11. Stock price prediction example IV.mp4
14.55 MB
18. Recurrent Neural Networks/11. Stock price prediction example IV.vtt
6.53 KB
18. Recurrent Neural Networks/12. Stock price prediction example V.mp4
6.74 MB
18. Recurrent Neural Networks/12. Stock price prediction example V.vtt
3.62 KB
18. Recurrent Neural Networks/13. Stock price prediction example VI.mp4
15.2 MB
18. Recurrent Neural Networks/13. Stock price prediction example VI.vtt
5.43 KB
18. Recurrent Neural Networks/14. Stock price prediction example VII.mp4
7.21 MB
18. Recurrent Neural Networks/14. Stock price prediction example VII.vtt
3.24 KB
19. Course Materials (DOWNLOADS)/1. Course materials.html
70 B
19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip
21.91 MB
19. Course Materials (DOWNLOADS)/2. House prices csv file.html
55 B
19. Course Materials (DOWNLOADS)/2.1 house_prices.csv.csv
183 B
20. DISCOUNT FOR OTHER COURSES!/1. 90% OFF For Other Courses.html
5.05 KB
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