PySpark Tutorial

Dive into a comprehensive tutorial on PySpark, the Python interface for Apache Spark, designed for large-scale data processing and machine learning. Explore essential topics including PySpark introduction, working with DataFrames, handling missing values, groupby and aggregate functions, and MLlib implementation. Gain hands-on experience with Databricks and learn to implement Linear Regression using single clusters. Access accompanying code on GitHub and benefit from instructor Krish Naik's expertise throughout this 1-2 hour learning journey.

Pyspark Introduction.
Pyspark Dataframe Part 1.
Pyspark Handling Missing Values.
Pyspark Dataframe Part 2.
Pyspark Groupby And Aggregate Functions.
Pyspark Mlib And Installation And Implementation.
Introduction To Databricks.
Implementing Linear Regression using Databricks in Single Clusters.