Month: May 2020
Python for Data Science: Unsupervised Learning Algorithm
In contrast to supervised learning that usually makes use of labelled data, unsupervised learning looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision. There are wide open implementation of unsupervised learning with unstructured big data which includes but not limited to areas such as: …
Python for Data Science: Supervised Learning Algorithm
The two techniques in Supervised Learning algorithms are: 1. Classification The algorithms which can be used in classification techniques include: Use Case: Titanic Data Set We will go through the process of creating Machine Learning model on the Titanic dataset from kaggle.com that predicts which passengers survived the Titanic shipwreck.The model will utilize all Classification Algorithms…
Python for Data Science: Machine Learning
What is Machine Learning? In essence, it is a type of Artificial Intelligence that extract patterns out of raw data by using an algorithm or method. The key focus of Machine Learning is to allow computer system to learn from experience without human intervention or being explicitly programmed.Two categories of Machine Learning are: Supervised Learning…