Treffer 1 - 20 von 220

1

Principal Component Analysis with Scikit-Learn, PySpark, and H2O
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :101-110

E-Book
2

Cluster Analysis with Scikit-Learn, PySpark, and H2O
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :89-99

E-Book
3

Nonlinear Modeling With Scikit-Learn, PySpark, and H2O
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :39-57

E-Book
4

Linear Modeling with Scikit-Learn, PySpark, and H2O
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :15-28

E-Book
5

Comparative Analysis of Credit Card Approval Prediction Using Machine Learning in Python and PySpark
Qumsiyeh, Emma ; Shehadeh, Saja ; Ayesh, Aseel
2025 Innovations in Intelligent Systems and Applications Conference (ASYU) Intelligent Systems and Applications Conference (ASYU), 2025 Innovations in. :1-6 Sep, 2025

Konferenz
6

Deep Learning Using PySpark
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :183-203

E-Book
7

Explainable AI for Online Transaction Fraud Detection Using Machine Learning and PySpark
Annamalai, Diksha ; Namratha, B ; Chintalapudi, Pranav Venkata Rama ; et al.
2025 5th International Conference on Intelligent Technologies (CONIT) Intelligent Technologies (CONIT), 2025 5th International Conference on. :1-8 Jun, 2025

Konferenz
9

Unsupervised Machine Learning
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :161-181

E-Book
10

Data Processing
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :17-48

E-Book
11

MLlib: Machine Learning Library
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :85-115

E-Book
12

Spark Structured Streaming
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :49-65

E-Book
13

Supervised Machine Learning
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :117-159

E-Book
14

Airflow
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :67-84

E-Book
15

Introduction to Spark
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :1-16

E-Book
16

Gender Detection from Hand Palm Images: A PySpark-Driven Approach with VGG19 Feature Extraction and MLP Classification
Henedak, Mayar Tarek ; Ezzeldin, Ganna Waleed ; Mohamed, Nada Adel ; et al.
2024 6th International Conference on Computing and Informatics (ICCI) Computing and Informatics (ICCI), 2024 6th International Conference on. :249-253 Mar, 2024

Konferenz
18

Performance Evaluation of Data-driven Intelligent Algorithms for Big data Ecosystem
Junaid, Muhammad ; Ali, Sajid ; Siddiqui, Isma Farah ; et al.
Wireless Personal Communications: An International Journal. 126(3):2403-2423

Fachzeitschrift
20

Fuzzy K-Means with M-KMP: a security framework in pyspark environment for intrusion detection
Begum, Gousiya ; Ul Huq, S. Zahoor ; Kumar, A. P. Siva
Multimedia Tools and Applications: An International Journal. 83(30):73841-73863

Fachzeitschrift

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