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Apache Spark- Partitioning and Shuffling, Parallelism Level, How to optimize these
Apache Spark is a powerful distributed computing system that handles large-scale data processing through a framework based on Resilient Distributed Datasets (RDDs). Understanding how Spark…
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Discuss Spark Data Types, Spark Schemas- How Sparks infers Schema?
In Apache Spark, data types are essential for defining the schema of your data and ensuring that data operations are performed correctly. Spark has its…
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Sorting Algorithms implemented in Python- Merge Sort, Bubble Sort, Quick Sort
Merge sort is a classic divide-and-conquer algorithm that efficiently sorts a list or array by dividing it into smaller sublists, sorting those sublists, and then…
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Mysql or Pyspark SQL query- The placement of subqueries
Let’s list all possible places where subqueries in MySQL or Hive QL or Pyspark SQL Query can be used: 1. In the SELECT Clause Subqueries…
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Lesson 3: Data Preprocessing
Data preprocessing is a crucial step in machine learning. It involves cleaning and transforming raw data into a format suitable for modeling. Data Cleaning Data…
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Lesson 2: Python for Machine Learning
In this lesson, we’ll cover essential Python libraries for machine learning: NumPy, Pandas, Matplotlib, and Scikit-Learn. NumPy NumPy is a library for numerical computations in…
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