download скачать Free download скачать : Introduction to Natural Language Processing in Python [2024]
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:5.85 GB

Files Included :

1  Course Structure.mp4 (9.38 MB)
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2  How to make out of the course.mp4 (8.2 MB)
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3  Overview of Natural Language Processing.mp4 (93.39 MB)
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1  Introduction to Tokenization in Natural Language Processing.mp4 (87.03 MB)
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10  Introduction to Stemming.mp4 (66.06 MB)
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11  Stemming Implementation.mp4 (61.12 MB)
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12  Introduction to Lemmatization.mp4 (58.39 MB)
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13  Introduction WordNet lemmatizer.mp4 (52.71 MB)
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14  WordNet lemmatizer implementation.mp4 (103.35 MB)
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15  The introduction and implementation of Spacy lemmatizer.mp4 (63.47 MB)
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16  The introduction and implementation of stop word removal.mp4 (87.34 MB)
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17  The introduction and implementation of Case folding.mp4 (56.06 MB)
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18  Introduction and implementation of N-grams.mp4 (61.38 MB)
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2  Tokenization Implementation Part 1.mp4 (98.03 MB)
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3  Introduction to Regular Expression.mp4 (66.43 MB)
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4  Regular Expression Implementation.mp4 (52.6 MB)
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5  Introduction to Treebank tokenizer.mp4 (50.59 MB)
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6  Treebank tokenizer Implementation.mp4 (26.46 MB)
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7  Introduction to TweetTokenizer.mp4 (58.57 MB)
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8  TweetTokenizer Implementation.mp4 (37.1 MB)
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9  Introduction to Word Normalization.mp4 (76.52 MB)
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1  Introduction to Word2vec.mp4 (80.92 MB)
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10  Skip-gram Implementation part 6.mp4 (130.31 MB)
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11  Skip-gram Implementation part 7.mp4 (39.39 MB)
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12  Introduction to Bag-of-Words algorithm.mp4 (40.66 MB)
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13  Bag of words algorithm Implementation.mp4 (273.26 MB)
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2  Introduction to skip-gram method.mp4 (90.79 MB)
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3  Word2vec implementation Part 1.mp4 (125.2 MB)
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4  Word2vec implementation Part 2.mp4 (162.74 MB)
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5  Skip-gram Implementation part 1.mp4 (91.33 MB)
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6  Skip-gram Implementation part 2.mp4 (190.61 MB)
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7  Skip-gram Implementation part 3.mp4 (147.5 MB)
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8  Skip-gram Implementation part 4.mp4 (112.13 MB)
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9  Skip-gram Implementation part 5.mp4 (67.45 MB)
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1  What are types of data.mp4 (26.73 MB)
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10  Introduction to TF-IDF.mp4 (11.3 MB)
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11  TF-IDF implementation.mp4 (124.82 MB)
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12  Introduction to feature engineering.mp4 (15.82 MB)
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13  Feature engineering implementation.mp4 (107.08 MB)
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14  Introduction to WordCloud and its implementation.mp4 (125.28 MB)
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2  Text cleaning and tokenization practice.mp4 (74.94 MB)
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3  How to perform text tokenization using keras and TextBlob.mp4 (88.9 MB)
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4  Singularizing and pluralizing words and language translation.mp4 (37.39 MB)
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5  What does feature extraction mean in natural language processing.mp4 (29.24 MB)
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6  Implementation of  feature extraction in natural language processing Part 1.mp4 (126.95 MB)
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7  Implementation of  feature extraction in natural language processing Part 2.mp4 (38.03 MB)
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8  Introduction to Zipf's Law.mp4 (7.83 MB)
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9  Zipf's Law Implementation.mp4 (204.01 MB)
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1  Introduction to spaCy.mp4 (10.61 MB)
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2  Tokenization Implementation with SpaCy Part 1.mp4 (68.31 MB)
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3  Tokenization Implementation with SpaCy Part 2.mp4 (45.74 MB)
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4  Tokenization Implementation with SpaCy final Part.mp4 (41.42 MB)
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5  Lemmatization implementation with spaCy.mp4 (26.84 MB)
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1  Introduction to Machine learning.mp4 (19.04 MB)
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10  What is Naive Bayes Classifiers.mp4 (26.48 MB)
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11  What is K-Nearest Neighbors.mp4 (24.69 MB)
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12  Text Classification implementation.mp4 (216.18 MB)
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13  What is regression.mp4 (18.53 MB)
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14  Regression Implementation.mp4 (86.88 MB)
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15  What is tree methods.mp4 (34.53 MB)
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16  What is Random Forest.mp4 (27.78 MB)
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17  What is GBM and XGBoost.mp4 (28.31 MB)
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18  Implementation of tree methods.mp4 (314.23 MB)
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19  What is Sampling.mp4 (26.64 MB)
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2  What is Hierarchical Clustering.mp4 (16.43 MB)
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20  Sampling implementation.mp4 (125.05 MB)
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21  What is Removing Correlated Features.mp4 (17.72 MB)
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22  Removing Highly Correlated Feature Implementation.mp4 (162.51 MB)
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23  what is Dimensionality Reduction.mp4 (22.53 MB)
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24  Dimensionality Reduction Implementation.mp4 (74.01 MB)
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25  introduction to evaluating the Performance of a Model.mp4 (34.66 MB)
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26  How to calculate the RMSE and MAPE.mp4 (25.13 MB)
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3  Hierarchical Clustering Implementation Part 1.mp4 (213.62 MB)
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4  Hierarchical Clustering Implementation Final Part.mp4 (199.37 MB)
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5  What is K-means Clustering.mp4 (15 MB)
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6  K-means Clustering Implementation.mp4 (143.44 MB)
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7  What is supervised learning.mp4 (15.93 MB)
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8  What is classification.mp4 (18.01 MB)
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9  What is logistic regression.mp4 (23.48 MB)
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1  Thank you.mp4 (23.29 MB)
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