The Decision tree algorithm is a powerful and popular predictive machine learning technique. It is a type of supervised learning algorithm. Decision tree is used for both classification and regression. It is also known as CART(Classification and Regression Tree). Decision tree typically starts with a single node, which branches into…

Exploratory Data Analysis or EDA is very crucial for the success of all data science projects. So, let’s try to understand what EDA is all about. It is an approach to analyze and understand the various aspects of the data. …

Python is popular with developers because of many good reasons: Clear and easy syntax Easy to read, learn and understand Type declarations are not required Memory management is fast and automatic Makes it easy to write shorter code than other programming languages. Python has many useful and important packages for…

Introduction to NumPy NumPy is a core library for scientific and numerical computing in Python. It is an abbreviation for Numerical Python. It provides high-performance multi-dimensional array object. It provides tools to work with arrays. There are so many other modules in Python that are built on NumPy. Hence, it…

Multiple Linear Regression is also known as Multiple Regression. It is an extension of simple Linear Regression. In Linear Regression, a single independent variable is used to predict the value of a dependent variable. In Multiple Regression, two or more independent variables are used to predict the value of a…

This model is useful to predict the relationship between two variables. The two variables are known as independent and dependent variable. Regression is a technique to find an equation that describes the best-fitting line for a set of data. …