|
RAR-files |
| packt.knime.for.data.science.and.data.cleaning-xqzt.rar |
250,000,000 |
FB61A3AD |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r00 |
250,000,000 |
6710B3B9 |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r01 |
250,000,000 |
158D6DBA |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r02 |
250,000,000 |
090DB517 |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r03 |
250,000,000 |
D4D18483 |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r04 |
250,000,000 |
AAFA28DB |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r05 |
250,000,000 |
ADADCC52 |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r06 |
250,000,000 |
95C6E7A7 |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r07 |
250,000,000 |
B9DFE40C |
| packt.knime.for.data.science.and.data.cleaning-xqzt.r08 |
224,663,585 |
0754B50A |
|
| Total size: |
2,474,663,585 |
|
|
| Archived
files |
|
01.01-welcome_to_knime.mkv
[3c9fdbf3a5b9dddd]
|
11,074,552 |
1857276F |
|
01.02-copying_or_moving_files_with_knime.mkv
[ed36b9c3dbb6f963]
|
99,852,061 |
130A35AD |
|
01.03-reading_multiple_excel_files-potential_errors_and_solutions.mkv
[6482043c63febcdb]
|
126,644,394 |
D7B7451E |
|
01.04-reading_multiple_excel_files-benefits_of_loops.mkv
[c644ecd7e7fe1c54]
|
152,252,616 |
C6C4BECA |
|
01.05-excel_files_with_different_table_structures_in_knime.mkv
[7662063011364c85]
|
128,595,764 |
50C0C9D8 |
|
01.06-useful_nodes-column_aggregations.mkv
[fccace14446bec14]
|
206,751,099 |
E1F6DDC4 |
|
01.07-countries-data_cleaning_challenge.mkv
[773a3c4aa2f875c5]
|
119,232,621 |
28377D28 |
|
01.08-merge_table_challenge_in_knime.mkv
[9ddecc9ed5e81339]
|
99,188,215 |
CE6D44F3 |
|
01.09-a_json_file_challenge_in_knime.mkv
[a713336f291bf29e]
|
199,912,728 |
5883AC03 |
|
01.10-create_the_neural_network_h5_model_file_to_be_used_in_knime.mkv
[b11bc9919ace48bd]
|
97,273,385 |
224DB6F8 |
|
01.11-mismatching_addresses-introduction_to_similarity_search_in_knime.mkv
[e6eb60d29dd9469b]
|
107,910,884 |
02651B21 |
|
01.12-tensorflow_neural_network_regression_implementation_in_knime.mkv
[74e345d4d4a21257]
|
160,342,087 |
39C38B44 |
|
01.13-transfer_learning_in_knime_using_python_scripts.mkv
[30e4b082e8a75192]
|
108,032,759 |
F1F444EB |
|
01.14-introduction_to_nlp_in_knime_part_1.mkv
[6578aec578c11fd3]
|
149,241,455 |
49D6AE98 |
|
01.15-nlp_in_knime_part_2-data_preprocessing_and_cleaning.mkv
[503e850068914882]
|
153,465,024 |
014DC6C8 |
|
01.16-nlp_in_knime_part_3-bag_of_words_and_document_vector.mkv
[1f3453b86fc57846]
|
156,917,578 |
8586BC00 |
|
01.17-nlp_in_knime-choose_ml_algorithm_and_score_our_model.mkv
[f77b19d17beacfdb]
|
129,780,196 |
C90D417A |
|
01.18-congratulations.mkv
[d222d0effd4a7e5a]
|
4,581,048 |
5C59497D |
|
02.01-copying_or_moving_files_with_knime.mkv
[3ab4cf1d1a4c13a7]
|
63,868,040 |
4F94A0F8 |
|
02.02-reading_multiple_excel_files-benefits_of_loops.mkv
[7f3a11a25c8560ec]
|
120,857,169 |
018332DE |
|
02.03-excel_files_with_different_table_structure_in_knime.mkv
[4c9866eed0ea6b58]
|
78,129,287 |
901A5A6D |
|
9781801071413_Code.zip |
757,450 |
A0DA0F08 |
|
| Total size: |
2,474,660,412 |
|
|
