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Building Machine Learning Model using Apache Spark | PySpark MLlib Tutorial

Welcome to the world of data-driven insights! In this video, we dive into the fascinating realm of machine learning and explore how to build powerful models using Apache Spark. Join us as we embark on a journey of harnessing the capabilities of Apache Spark, a robust distributed computing framework, to tackle complex data challenges and unlock the potential of machine learning algorithms. Discover the step-by-step process of data preprocessing, feature engineering, model training, and evaluation using Apache Spark's scalable and efficient tools. Whether you're a data enthusiast or a budding data scientist, this tutorial equips you with the knowledge and skills to leverage Apache Spark's immense power and create accurate and efficient machine learning models. Get ready to elevate your data analysis game and unlock the true potential of machine learning with Apache Spark! Code for this lecture: https://github.com/ashaypatil11/spark... Data file used in the lecture: https://github.com/ashaypatil11/spark... ------------------------------------------------------------------------------------------------------------- Anaconda Distributions Installation link: https://www.anaconda.com/products/dis... ---------------------------------------------------------------------------------------------------------------------- Apache Spark Installation links: 1. Download JDK: https://www.oracle.com/in/java/techno... 2. Download Python: https://www.python.org/downloads/ 3. Download Spark: https://spark.apache.org/downloads.html Also check out similar informative videos in the field of cloud computing: What is Big Data:    • What is Big Data? | Big Data Use Case...   How Cloud Computing changed the world:    • How Cloud Computing changed the world!   What is Cloud?    • What is Cloud Computing?   Top 10 facts about Cloud Computing that will blow your mind!    • Top 10 facts about Cloud Computing th...   Audience This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well. Prerequisites Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors. ----------------------------------------------------------------------------------------------------------------------- Check out our full course topic wise playlist on some of the most popular technologies: SQL Full Course Playlist-    • SQL Full Course   PYTHON Full Course Playlist-    • Python Full Course   Data Warehouse Playlist-    • Data Warehouse Full Course   Unix Shell Scripting Full Course Playlist-    • Unix Shell Scripting Full Course   -----------------------------------------------------------------------------------------------------------------------Don't forget to like and follow us on our social media accounts: Facebook-   / ampcode   Instagram-   / ampcode_tutorials   Twitter-   / ampcodetutorial   Tumblr- ampcode.tumblr.com ----------------------------------------------------------------------------------------------------------------------- Channel Description- AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today. By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more. #pyspark #bigdata #datascience #dataanalytics #datascientist #spark #dataengineering #apachespark #machinelearning

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