What Is Boosting in Machine Learning ?: A Comprehensive Guide Lesson - 35 Supervised Machine Learning: All You Need to Know Lesson - 33ġ0 Machine Learning Platforms to Revolutionize Your Business Lesson - 34 Top 45 Machine Learning Interview Questions and Answers for 2023 Lesson - 31Įxplaining the Concepts of Quantum Computing Lesson - 32 How to Become a Machine Learning Engineer? Lesson - 30 Mathematics for Machine Learning - Important Skills You Must Possess Lesson - 27Ī One-Stop Guide to Statistics for Machine Learning Lesson - 28Įmbarking on a Machine Learning Career? Here’s All You Need to Know Lesson - 29 The Complete Guide on Overfitting and Underfitting in Machine Learning Lesson - 26 The Best Guide to Regularization in Machine Learning Lesson - 24Įverything You Need to Know About Bias and Variance Lesson - 25 What Is Q-Learning? The Best Guide to Understand Q-Learning Lesson - 23 What Is Reinforcement Learning? The Best Guide To Reinforcement Learning Lesson - 22 The Ultimate Guide to Cross-Validation in Machine Learning Lesson - 20Īn Easy Guide to Stock Price Prediction Using Machine Learning Lesson - 21 What is Cost Function in Machine Learning Lesson - 19 PCA in Machine Learning: Your Complete Guide to Principal Component Analysis Lesson - 18 K-Means Clustering Algorithm: Applications, Types, Demos and Use Cases Lesson - 17 How to Leverage KNN Algorithm in Machine Learning? Lesson - 16 The Best Guide to Confusion Matrix Lesson - 15 Understanding Naive Bayes Classifier Lesson - 14 The Best Guide On How To Implement Decision Tree In Python Lesson - 12 Understanding the Difference Between Linear vs. Supervised and Unsupervised Learning in Machine Learning Lesson - 6Įverything You Need to Know About Feature Selection Lesson - 7Įverything You Need to Know About Classification in Machine Learning Lesson - 9Īn Introduction to Logistic Regression in Python Lesson - 10 Top 10 Machine Learning Applications in 2023 Lesson - 4Īn Introduction to the Types Of Machine Learning Lesson - 5 Machine Learning Steps: A Complete Guide Lesson - 3 What is Machine Learning and How Does It Work? Lesson - 2 T16:03:48.979Z 'Threshold for MDB 45 crossed: 44.86, 45.An Introduction To Machine Learning Lesson - 1 The watchData.js script will print out the times the stock price crossed 45: $ node watchData.js Script will print out the stock prices it inserted: $ node ingestData.js Run these two scripts in two separate terminal windows, The ingestData.js Without managing them yourself, check out MongoDB Atlas. If you want to use replica sets in production The mongodb-topology-manager npm module is great for tests and examples, but do Save you the effort of setting up a replica set on your own, the below exampleĬreates a 3 node replica set running on ports 31000-31002 using the mongodb-topology-manager npm module. The Model.watch() function gives you a Node.js event emitter that fires a 'change' event every time someone inserts or updates a document in the database.Ĭurrently, MongoDB replica sets do not work with a standalone mongod server, Mongoose added support for change streams in v5.0.0 via Getting Started with Mongoose and Change Streams Notifies users when a stock crosses a user-specified threshold. In this article, I'll build out a service using Node.js and mongoose that watches stock prices via Ingests stock prices is like trying to solve a sudoku puzzle while drinking fromĪ firehose. Stock pricesĬan change hundreds of times a second and doing work in the same logic that Ingesting and reacting to stock price data is a classic use case for Kafka. Words, change streams are a compelling alternative to pubsub tools likeĪpache Kafka, especially when you're already using Powerful mechanism for splitting work between different processes.
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