Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition

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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

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

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