Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics

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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified

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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks

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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more

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Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python

Avishek Pal, PKS Prakash

PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python

Denny Lee, Tomasz Drabas

Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

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