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Build Apache Spark Machine Learning and Analytics Projects (Total 5 Projects) on Databricks Environment
An excellent training about Data Science
Build Spark Machine Learning and Analytics (5 Projects)
Build Apache Spark Machine Learning and Analytics Projects (Total 5 Projects) on Databricks Environment useful for Bigdata EngineersLearn the latest Big Data Technology Tool- Apache Superset! And learn to use it with one of the most popular way! One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Superset! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Superset to solve their big data problems! Master Machine Learning Project Building with Apache Spark. Build Apache Spark Machine Learning Project for eCommerce DomainBuild Apache Spark Machine Learning Project for Banking DomainPrediction Shopper Purchase Intention Project for eCommerce DomainBuild Apache Spark Analytics Project WebServerPredictive Analytics Project Real-time Prediction of online shoppers purchasing intention Project using Apache Spark Machine Learning Models a Data Pipeline Creation. What is this course about? This course covers all the fundamentals about Apache Spark Machine Learning Project with Scala and teaches you everything you need to know about developing Spark Machine Learning applications using Scala, the Machine Learning Library API for Spark. At the end of this course, you will gain in-depth knowledge about Spark Machine Learning and general big data manipulation skills to help your company to adapt Spark Machine Learning for building Machine Learning Model processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today. 1 Project Details: This project is about an eCommerce company that sells clothes online. This project is about customers who buy clothes online. The store offers in-store style and clothing advice sessions. Customers come into the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. We need to predict the future spending of Customer(ie Revenue for Company ) so business strategies can be made to convert “Customer” to “Loyalty Customer” In this Data Science Machine Learning project, we will create an eCommerce Customer Revenue Prediction Project using Apache Spark Machine Learning Models using Linear Regression, one of the predictive models. Explore Apache Spark and Machine Learning on the Databricks platform. Launching Spark ClusterCreate a Data PipelineA process that data using a Machine Learning model (Spark ML Library)Hands-on learningReal-time Use CasePublish the Project on Web to Impress your recruiter eCommerce Customer Revenue Prediction Project a Real-time Use Case on Apache Spark2 Project Details: Telemarketing advertising campaigns are a billion-dollar effort and one of the central uses of the machine learning model. However, its data and methods are usually kept under lock and key. The Project is related to the direct marketing campaigns of a banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (‘yes’) or not (‘no’) subscribed. In this Data Science Machine Learning project, we will create Predicting Customer Response to Bank Direct Telemarketing Campaign Project in Apache Spark Project (Machine Learning) using Classification Model, Logistic Regression, few of the predictive models. Explore Apache Spark and Machine Learning on the Databricks platform. Launching Spark ClusterCreate a Data PipelineA process that data using a Machine Learning model (Spark ML Library)Hands-on learningReal-time Use Case Publish the Project on Web to Impress your recruiter Predicting Customer Response to Bank Direct Telemarketing Campaign Project a Real-time Use Case on Apache Spark3 Project Details: Once a user logs into an online shopping website, knowing whether the person will make a purchase or not holds a massive economical value. A lot of current research is focused on real-time revenue predictors for these shopping websites. In this article, we will start building a revenue predictor for one such website. In this Data Science Machine Learning project, we will create a Real-time prediction of online shoppers purchasing intention Project using Apache Spark Machine Learning Models using Logistic Regression, one of the predictive models a data pipeline projectImplementing Apache Spark and Machine Learning on the Databricks platform. Creating a Spark ClusterMake a Data Pipeline A cycle that information utilizing a Machine Learning model (Spark ML Library)Hands-on learning Ongoing Use Case Distribute the Project on Web to Impress Employer. Prediction of Online Shoppers Purchasing Intention Project a Real-time Use Case on Apache Spark4 Project Details: The goal of this project is to provide hands-on training that applies directly to real-world Big Data projects. It us
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