Motivation In Machine Learning, all types including supervised, unsupervised and reinforcement learning have their own way of implementation. Let’s do hands-on with them; Supervised Learning It’s the “Task Driven” (Predict next value). Here, we teach the model! then with that knowledge, it can predict unknown or future instances. Let’s implement the simple code in the jupeter…
Motivation In order to do proper hands-on with a new language, it’s important to understand each part of it by applying live examples. Hence its syntax fully clear. Let’s start by playing with functions; Functions Simply create an add_numbers a function that takes two numbers and adds them together; add_numbers updated to take an optional 3rd parameter. add_numbers updated…
What would happen when the volume of your data increased repeatedly over time and you need high velocity at the same time. Not only that but you have a different variety of data and Variability also exists in your data. So how would you handle all that data? If we particularly talk about an existing…
