100 Days of Machine Learning | CampusX - How to Frame a Machine Learning Problem | How to plan a Data Science Project Effectively

Choosing a machine learning method to implement data is not the easiest of processes. It is essential to first understand the precise business problem and its objectives. For instance, understanding what needs to be predicted and understanding potential outcomes is critical. One also needs to know what data should be used to train a model, among other factors. Such considerations help with the framing of a machine learning problem. In this article, we will look at how to frame a machine learning problem correctly. ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 Instagram: https://www.instagram.com/campusx.official E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Introduction to framing the problem 2:24 - Case study example of Netflix for churn rate 6:23 - Business problem to ML problem 7:08 - Types of problem 12:24 - Current solution 13:33 - Getting data 15:09 - Metrics to measure 17:15 - Online Vs Batch? 19:15 - Check Assumptions ✨ Hashtags✨ #100DaysOfMachineLearning #MachineLearningFullCourse #MachineLearningInHindi