Here in this post, we will see how to define a function in python along with the importance of Functions in Python for Machine Learning and Data Analysis. We’ll start with the definition of function and then see some basic syntax with examples and in last we’ll discuss some use cases in the real world. What […]
Will Artificial Intelligence Prove Boon or Curse for Humanity?
The question which is creating a buzz all over the internet – Will Artificial Intelligence prove boon or curse for Humanity?. There is a lot of debate going on the internet where everyone is sharing some facts and figures to support their point. Considering the fact that Artificial Intelligence/Machine Learning is the hottest topic and job […]
Cool Applications of Machine Learning in Real World
If you are following Machine Learning or Artificial Intelligence, you might know that most of the data generated in the last 3-4 years and this makes Machine Learning and Artifical Intelligence the hottest job of the 21st century. Machine Learning is not only improving Business Processes and decision but also used in the background to […]
Explaining Principal Component Analysis using Python in Machine Learning
Here in this post, we will see the maths behind Principal Component Analysis using Python and then will also see how to implement it using Sklearn library. Whatever you do in your day to day life, you are generating a tremendous amount of data that can be used by business to improve their products, to […]
Dimension Reduction with Principal Component Analysis (PCA)
Here, in this post, we’ll see how to perform Dimension Reduction with Principal Component Analysis (PCA) using Sklearn library and also learn basic idea about dimension reduction and Principal Component Analysis (PCA). Data is everywhere. Whatever you do in your day to day life will generate a tremendous amount of data that can be used by […]
Applying Linear Regression to Boston Housing Dataset
In this post, we will apply linear regression to Boston Housing Dataset on all available features. In our previous post, we have already applied linear regression and tried to predict the price from a single feature of a dataset i.e. RM: Average number of rooms. We are going to use Boston Housing dataset which contains information […]