[Coursera] Applied Python Data Engineering Specialization - 3 course series |
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[ DevCourseWeb.com ] Udemy - Pyspark For Data Engineers And Data Analysts In 1H30 |
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21.4 MB |
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82.1 MB |
/~Get Your Files Here !/3 - Complete Big Data Project Using PySpark/13 - Join PySpark Dataframes.mp4 |
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[LinkedIn Learning] Master Data Engineering - Complete 7 Courses |
26/2 |
3.0 GB |
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5.4 MB |
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4.9 KB |
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[ DevCourseWeb.com ] Udemy - Machine Learning And Deep Learning Projects In Python |
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2.9 GB |
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/~Get Your Files Here !/22 - Cheat Sheet/59 - PySpark-RDD.pdf |
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/~Get Your Files Here !/22 - Cheat Sheet/59 - PySpark-SQL.pdf |
5.4 MB |
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4.3 GB |
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/~Get Your Files Here !/34. Intro & How to Get Help in PySpark.mp4 |
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/~Get Your Files Here !/59. Exercise_ SQL in PySpark - Solution.mp4 |
9.9 MB |
/~Get Your Files Here !/Mastery Map 5 - PySpark Storage Levels - SparkCertCourse.com.pdf |
74.3 KB |
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[ DevCourseWeb.com ] Udemy - Fundamentals of Python, Machine Learning for Consultants |
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2.0 GB |
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54.5 MB |
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117.8 MB |
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24.0 KB |
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147.0 MB |
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78.6 MB |
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[CourseClub.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP |
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1.8 GB |
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[FreeCoursesOnline.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP |
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1.8 GB |
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Testas A. Distributed Machine Learning with PySpark. Migrating Effortlessly 2024 |
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/Testas A. Distributed Machine Learning with PySpark. Migrating Effortlessly 2024.pdf |
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[ DevCourseWeb.com ] Udemy - Crack Azure Data Engineering by Interview Preparation Course |
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2.3 GB |
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16.9 MB |
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5.2 KB |
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10.7 MB |
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[Яндекс.Практикум] Инженер данных. Data Engineer. Весь курс (2022) |
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6.8 GB |
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Skillshare.A.Python.project.with.coding.framework.and.unit.testing.for.beginners-SkilledHares |
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690.5 MB |
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24.9 MB |
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Analytics Visualização Relatórios e Tomada de Decisões com Big Data |
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7.2 GB |
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/07 Big Data Analytics com Aure HDInsight - Parte 2/26 PySparkling com H2O.mp4 |
77.0 MB |
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SKILLSHARE.BIG.DATA.ANALYSIS.WITH.APACHE.SPARK.PYSPARK.PYTHON-iLLiTERATE |
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[FreeCoursesOnline.Me] Data Camp - Data Engineer with Python [Career Track] |
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15.5 MB |
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14.6 MB |
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17.0 MB |
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15.7 MB |
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20.8 MB |
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13.8 GB |
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/От Scikit-learn к PySpark MLlib _ Андрей Гаврилов (EPAM).mp4 |
330.5 MB |
/Презентации/День 4/Зал 1/3.Доклад_От Scikit-learn к PySpark MLlib_Андрей Гаврилов (Epam)_вер.1.pdf |
4.7 MB |
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242.8 MB |
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5.9 GB |
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117.6 MB |
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