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RAR-files |
| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.rar |
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| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.r00 |
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| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.r01 |
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| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.r02 |
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| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.r03 |
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| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.r04 |
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| linkedin.learning.data.science.foundations.data.mining.in.python-xqzt.r05 |
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| Total size: |
650,355,850 |
|
|
| Archived
files |
|
01.01-python_for_data_mining.mkv
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01.02-what_you_should_know.mkv
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01.03-exercise_files.mkv
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02.01-tools_for_data_mining.mkv
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02.02-the_crisp-dm_data_mining_model.mkv
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02.03-privacy_copyright_and_bias.mkv
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02.04-validating_results.mkv
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03.01-dimensionality_reduction_overview.mkv
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03.02-handwritten_digits_dataset.mkv
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03.05-t-sne.mkv
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03.06-challenge_pca.mkv
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03.07-solution_pca.mkv
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04.01-clustering_overview.mkv
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04.02-penguin_dataset.mkv
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04.03-hierarchical_clustering.mkv
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04.04-k-means.mkv
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04.05-dbscan.mkv
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04.06-challenge_k-means.mkv
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04.07-solution_k-means.mkv
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05.01-classification_overview.mkv
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05.05-decision_trees.mkv
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05.06-challenge_knn.mkv
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05.07-solution_knn.mkv
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06.01-association_analysis_overview.mkv
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06.02-groceries_dataset.mkv
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06.03-apriori.mkv
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06.04-eclat.mkv
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06.05-fp-growth.mkv
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06.06-challenge_apriori.mkv
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5,052,033 |
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06.07-solution_apriori.mkv
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14,554,607 |
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07.01-time-series_mining.mkv
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17,336,892 |
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07.02-air_passengers_dataset.mkv
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07.03-time-series_decomposition.mkv
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07.04-arima.mkv
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07.05-mlp.mkv
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07.06-challenge_decomposition.mkv
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07.07-solution_decomposition.mkv
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08.01-text_mining_overview.mkv
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08.02-iliad_dataset.mkv
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08.03-sentiment_analysis_binary_classification.mkv
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08.04-sentiment_analysis_sentiment_scoring.mkv
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08.05-word_pairs.mkv
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08.06-challenge_sentiment_scoring.mkv
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08.07-solution_sentiment_scoring.mkv
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09.01-next_steps.mkv
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Ex_Files_Data_Mining_Python_R.zip |
1,596,416 |
B2C0028F |
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| Total size: |
650,351,904 |
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|
