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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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