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 […]
Difference between Data Science, Machine learning, Artificial Intelligence and Deep Learning
Here in this post, I’ll try to clarify what do these big terms like Data Science, Machine learning, Artificial Intelligence and Deep Learning in reality mean and also I will try to differentiate them so that you can understand better. Data Science: Data science is an interdisciplinary field which is a combination of programming, analytical, and business skills that allow […]