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 […]

## How to Split Data for Machine Learning with scikit-learn

In this post, we will see how to split data for Machine Learning with scikit-learn/sklearn as its always a best practice to split your data into train and test set. As in our previous post, we defined Machine Learning as an art and science of giving machines especially computers an ability to learn to make […]

## Building simple Linear Regression model using Python’s Sci-kit library

Here in this post, we will build a simple linear regression model using Python‘s Sci-kit learn/Sklearn library. When it comes to defining Machine Learning, we can say its an art and science of giving machines especially computers an ability to learn to make a decision from data and all that without being explicitly programmed. The […]

## Performing Linear Regression using Least Squares

Linear regression is defined as a linear approach which is used to model the relationship between dependent variable and one or more independent variable(s). When we try to model the relationship between a single feature variable and a single target variable, it is called simple linear regression. But when there is more than one independent […]

## 7 steps to prepare your data for machine learning models with Python

As a Data Scientist or data analyst, you have to prepare your data for machine learning models by getting it into shape. When you came across words like data cleaning or data cleansing, pre-processing, wrangling in data science community it has only one meaning that you are referring to pre modelling data activities like removing […]