A Journey into Image Restoration and Optical Deciphering for Clearer Newspaper Images and Legible Number Plates What is main goal of this task or project we have a noisy image of a car with an unreadable license plate, and we want to improve the license plate visibility using image processing techniques. Image processing involves manipulating digital images to enhance their…

“Computers are able to see, hear and learn. Welcome to the future.” Definition : Machine Learning is a study of various types of algorithms of Artificial Intelligence that enabled self-learning from data without explicitly programmed. With this technology, computers can learn by themselves and improve their accuracy and experience over…

The First Step of Learning Process… There are myriad definitions of observation on the internet. Each field has its own explanation about the word observation according to their area of work i.e. Let’s take Machine Learning where we observe the model and evaluate its performance and try to make it…

It is the most basic and widely used technique to predict a value of an attribute What is Linear Regression? Linear Regression is a supervised learning algorithm that depicts a relationship between the dependent variable(Y) and one or more independent variables(X) It is used to analyze continuous numeric data. It…

Essential statistical principles to get started on your Data Science journey. — we all are cognizant of the enormous impact of statistics in the field of data science in this data-driven world. Finding patterns, trends, and making predictions are the most significant steps in data science. Here we gonna discuss some basics terms of the statistical world which play a crucial role…

Difference between covariance and correlation. — Introduction : Covariance and Correlation are two mathematical principles that are frequently used in the field of statistics and probability. These both techniques have a common goal, to depict the linear relationship between two variable or data samples. Covariance : The covariance determines the relationship between two random variables or samples — how they…