Motivation: It’s all about the different methods used in data science. Data Science Methodology: There is the following methodology used in data science which can further categories into different phases; From Problem to Approach Business Understanding Analytical Approach Working with Data Data Requirements Data Collection Data Understanding Data Preparation Deriving the

Motivation Well, if we talk about a human cell sample extracted from a patient. The cell would have some characteristics. One of the interesting questions we can ask, what kind of statistics that cell have? One could easily presume that only a doctor with years of experience could diagnose a tumor and

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