Data Science 🐍 Classification скачать в хорошем качестве

Data Science 🐍 Classification

Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete levels such as a letter from text recognition, or a word from speech recognition. There are two main methods for training classifiers: unsupervised and supervised learning. The difference between the two is that unsupervised learning does not use labels while supervised learning uses labels to build the classifier. The goal of unsupervised learning is to cluster input features but without labels to guide the grouping. Online Course: https://apmonitor.com/che263/index.ph... Course Modules 1. Data Science 🐍 Course Overview 2. Data Science 🐍 Import / Export 3. Data Science 🐍 Analyze 4. Data Science 🐍 Visualize 5. Data Science 🐍 Prepare Data 6. Data Science 🐍 Regression 7. Data Science 🐍 Features 8. Data Science 🐍 Classification 9. Data Science 🐍 Interpolation 10. Data Science 🐍 Solve Equations 11. Data Science 🐍 Differential Equations 12. Data Science 🐍 Time Series Data Science 🐍 Final Project Source Files: https://github.com/APMonitor/data_sci...