Artificial Intelligence and Machine Learning Complete Guide
Language: English | Size:7.97 GB
Genre:eLearning
Files Included :
1 Course content.mp4 (80.7 MB)
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2 Terminology.mp4 (37.09 MB)
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1 Missing values and normalization.mp4 (93.5 MB)
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10 COVID dataset 1.mp4 (60.48 MB)
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11 COVID dataset 2.mp4 (79.63 MB)
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12 COVID dataset 3.mp4 (33.64 MB)
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2 Discretization.mp4 (43.21 MB)
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3 Feature selection.mp4 (50.22 MB)
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4 Dimensionality reduction using PCA.mp4 (55.98 MB)
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5 PCA and clustering.mp4 (27.44 MB)
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6 Outliers detection.mp4 (52.32 MB)
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7 Time series 1.mp4 (42.74 MB)
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8 Time series 2.mp4 (66.6 MB)
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9 Basic charts.mp4 (41.56 MB)
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1 Introduction.mp4 (21.74 MB)
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2 Intuition.mp4 (98.08 MB)
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3 Implementation 1 - environment.mp4 (77.96 MB)
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4 Implementation 2 - training 1.mp4 (72.97 MB)
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5 Implementation 3 - training 2.mp4 (93.53 MB)
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6 Implementation 4 - evaluation.mp4 (62.17 MB)
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1 Introduction.mp4 (9.78 MB)
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10 Neural networks in Orange.mp4 (42.98 MB)
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11 Case study Homer and Bart classification.mp4 (26.49 MB)
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12 Deep learning with TensorFlow 1.mp4 (67.29 MB)
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13 Deep learning with TensorFlow 2.mp4 (47.46 MB)
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14 Deep learning with TensorFlow 3.mp4 (60.56 MB)
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16 Homework solution.mp4 (42.44 MB)
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17 Introduction to convolutional neural networks.mp4 (54.26 MB)
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18 Convolutional operator.mp4 (39.93 MB)
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19 Pooling.mp4 (24.84 MB)
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2 Biological fundamentals.mp4 (59.51 MB)
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20 Flattening.mp4 (63.81 MB)
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21 Dense neural network.mp4 (43.38 MB)
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22 Convolutional neural networks with TensorFlow 1.mp4 (84.22 MB)
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23 Convolutional neural networks with TensorFlow 2.mp4 (110.71 MB)
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25 Homework solution.mp4 (57.25 MB)
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3 Single layer perceptron.mp4 (57.7 MB)
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4 Multilayer perceptron - sum and activation functions.mp4 (48.79 MB)
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5 Multilayer perceptron - error calculation.mp4 (17.71 MB)
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6 Gradient descent.mp4 (45.98 MB)
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7 Delta parameter.mp4 (29.14 MB)
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8 Updating weights with backpropagation.mp4 (54.71 MB)
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9 Bias, error, stochastic gradient descent, and more parameters.mp4 (67.78 MB)
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1 Introduction.mp4 (16.14 MB)
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10 Sentiment analysis 3.mp4 (84.8 MB)
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11 Sentiment analysis 4.mp4 (49.2 MB)
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12 Sentiment analysis 5.mp4 (43.14 MB)
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13 Sentiment analysis 6.mp4 (48.18 MB)
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14 Sentiment analysis 7.mp4 (31.67 MB)
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15 Sentiment analysis 8.mp4 (36 MB)
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17 Text classification in Orange.mp4 (49.71 MB)
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2 POS (part of speech), lemmatization, and stemming.mp4 (116.35 MB)
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3 Loading texts from the Internet.mp4 (62.61 MB)
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4 Text search using spaCy.mp4 (98.79 MB)
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5 Named entity recognition.mp4 (27.51 MB)
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6 Word cloud in Python.mp4 (61.69 MB)
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7 Word cloud in Orange.mp4 (26.16 MB)
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8 Sentiment analysis 1.mp4 (52.97 MB)
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9 Sentiment analysis 2.mp4 (34.94 MB)
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1 Introduction.mp4 (29.79 MB)
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10 Object tracking - intuition.mp4 (44.29 MB)
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11 Object tracking - implementation.mp4 (122.48 MB)
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12 Image generation with Stable Diffusion.mp4 (81.54 MB)
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2 Images and pixels.mp4 (31.93 MB)
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3 Face detection - intuition.mp4 (86.57 MB)
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4 Face detection - implementation.mp4 (200.34 MB)
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6 Homework solution.mp4 (51.88 MB)
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7 Face recognition - intuition.mp4 (38.28 MB)
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8 Face recognition - training.mp4 (96.16 MB)
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9 Face recognition - classification.mp4 (34.13 MB)
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1 Introduction to Python.mp4 (25.33 MB)
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10 Conditional operators.mp4 (40.92 MB)
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12 Homework solution.mp4 (54.78 MB)
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13 Loops - for.mp4 (43.2 MB)
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14 Loops - while.mp4 (38.48 MB)
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16 Homework solution.mp4 (31.28 MB)
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17 Collections - tuples and lists.mp4 (38.25 MB)
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18 Collections - dictionaries and sets.mp4 (40.09 MB)
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19 Collections - matrices.mp4 (29 MB)
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2 Installation.mp4 (50.97 MB)
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21 Homework solution.mp4 (48.12 MB)
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22 Functions.mp4 (48.28 MB)
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24 Homework solution.mp4 (48.8 MB)
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25 Modules - math and datetime.mp4 (58.25 MB)
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26 Modules - random and time.mp4 (59.06 MB)
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27 Creating custom models.mp4 (37.27 MB)
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29 Homework solution.mp4 (30.25 MB)
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3 Python IDEs.mp4 (67.77 MB)
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30 Errors and exceptions.mp4 (76.06 MB)
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32 Homework solution.mp4 (29.57 MB)
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33 Reading and writing text files.mp4 (25.19 MB)
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35 Homework solution.mp4 (22.26 MB)
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36 Regular expressions - intuition.mp4 (58.51 MB)
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37 Regular expressions - implementation.mp4 (70.83 MB)
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39 Homework solution.mp4 (27.27 MB)
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4 Variables and constants.mp4 (69.39 MB)
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40 Object oriented - intuition.mp4 (27.79 MB)
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41 Object oriented - implementation.mp4 (64.6 MB)
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43 Homework solution.mp4 (23.62 MB)
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5 Mathematical operations.mp4 (26.67 MB)
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6 Strings.mp4 (52.65 MB)
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8 Homework solution.mp4 (32.68 MB)
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9 Logical and relational operators.mp4 (41.26 MB)
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1 Final remarks.mp4 (14.17 MB)
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2 BONUS.mp4 (29.44 MB)
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1 Introduction.mp4 (6.23 MB)
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10 A search - implementation.mp4 (82.17 MB)
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12 Homework solution.mp4 (52.04 MB)
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2 Search - intuition.mp4 (25.05 MB)
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3 Heuristics - intuition.mp4 (32.94 MB)
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4 Ordered arrays - intuition.mp4 (13.12 MB)
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5 Ordered arrays - implementation.mp4 (70.24 MB)
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6 Creating the city map.mp4 (109.97 MB)
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7 Greedy search - intuition.mp4 (30.66 MB)
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8 Greedy search - implementation.mp4 (69.8 MB)
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9 A search - intuition.mp4 (50.56 MB)
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1 Optimization algorithms - intuition.mp4 (42.33 MB)
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10 Genetic algorithm - intuition.mp4 (30.38 MB)
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11 Genetic algorithm - implementation.mp4 (34.58 MB)
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12 HOMEWORK.mp4 (37.23 MB)
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13 Homework solution.mp4 (67.57 MB)
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2 Case study - flight schedule.mp4 (35.94 MB)
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3 Representing the problem.mp4 (95.57 MB)
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4 Printing the solution.mp4 (117.86 MB)
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5 Fitness function.mp4 (71.26 MB)
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6 Hill climb - intuition.mp4 (48.51 MB)
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7 Hill climb - implementation.mp4 (28.81 MB)
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8 Simulated annealing - intuition.mp4 (31.5 MB)
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9 Simulated annealing - implementation.mp4 (40.5 MB)
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1 Introduction.mp4 (9.31 MB)
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2 Applications of fuzzy logic.mp4 (19.32 MB)
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3 Fuzzy logic - intuition.mp4 (50.17 MB)
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4 Implementation 1.mp4 (50.17 MB)
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5 Implementation 2.mp4 (97.44 MB)
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6 Implementation 3.mp4 (36.11 MB)
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8 Homework solution.mp4 (44.78 MB)
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1 Introduction.mp4 (11.75 MB)
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2 Machine learning and Data Science.mp4 (49.34 MB)
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1 What is classification.mp4 (51.86 MB)
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10 SVM (Support Vectors Machines) - intuition.mp4 (11.26 MB)
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11 SVM (Support Vectors Machines) in Orange.mp4 (12.37 MB)
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12 Logistic regression - intuition.mp4 (14.3 MB)
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13 Logistic regression in Orange.mp4 (31.22 MB)
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14 Crossvalidation.mp4 (18.29 MB)
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16 Homework solution.mp4 (43.15 MB)
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17 Image classification in Orange.mp4 (71.91 MB)
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2 Naïve Bayes - intuition.mp4 (56.03 MB)
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3 Naïve Bayes in Orange.mp4 (102.54 MB)
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4 Decision trees - intuition.mp4 (27.23 MB)
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5 Decision trees in Orange.mp4 (16.34 MB)
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6 Rule based learning - intuition.mp4 (24.88 MB)
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7 Rule based learning in Orange.mp4 (21.07 MB)
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8 kNN (k nearest neighbors) - intuition.mp4 (43.42 MB)
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9 kNN (k nearest neighbors) in Orange.mp4 (13.42 MB)
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1 What is regression.mp4 (9.85 MB)
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2 Linear regression - intuition.mp4 (20.87 MB)
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3 Linear regression in Orange.mp4 (53.25 MB)
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5 Homework solution.mp4 (62.26 MB)
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1 What is clustering.mp4 (14.8 MB)
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2 K-means algorithm - intuition.mp4 (13.14 MB)
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3 K-means algorithm in Orange.mp4 (50.67 MB)
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5 Homework solution.mp4 (96.51 MB)
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6 Clustering images in Orange.mp4 (57.61 MB)
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1 What are association rules.mp4 (13.16 MB)
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2 Apriori algorithm.mp4 (57.11 MB)
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3 Apriori in Orange.mp4 (39.98 MB)
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5 Homework solution.mp4 (33.92 MB)
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