An Algorithm is a series of steps that helps in solving specific problems. Machine Learning Algorithms helps us in providing mathematical equations which help in predicting the future by using the past behaviour of the…
Named Entity means anything that is a real-world object such as a person, a place, any organisation, any product which has a name. For example – “My name is Aman, and I and a Machine…
ARIMA model means Autoregressive Integrated Moving Average. This model provides a family of functions which are a very powerful and flexible to perform any task related to Time Series Forecasting. In Machine Learning ARIMA model…
Fraud is one of the major issues we come up majorly in banks, life insurance, health insurance, and many others. These major frauds are dependent on the person who is trying to sell you the…
The Random Forest algorithm is an ensemble of the Decision Trees algorithm. A Decision Tree model is generally trained using the Bagging Classifier. If you don’t want to use a bagging classifier algorithm to pass…
Have you ever faced problems in getting started with Data Science and Machine Learning? If you are doing a course from a very respective university still you face problems with lack of concepts and knowledge…
Indeed, two people can never have the same fingerprints, it is unique in every human. But using fingerprints we can classify gender, whether it’s male or female. In this article, I will take you through…
In this article, I will show you, 5 Beginner, to Intermediate level Artificial Intelligence Projects. Artificial Intelligence consists of three main components, which are Data Science, Machine Learning, and Deep Learning. All the projects are…
Machine Learning and Artificial Intelligence are the most searched content on the Internet among the programmers coming from different programming languages. The popularity of Machine Learning has led to a lot of research that today…
In this article, I will show you 5 beginner level Machine Learning Projects for Beginners. All the projects are solved and explained. If you are new to Machine Learning and want to improve yourself more…
A dictionary is an example of a key-value store also known as Mapping in Python. It allows you to store and retrieve elements by referencing a key. As dictionaries are referenced by key, they have…
Have you ever got confused when you try to choose the best algorithm for a machine learning task? Suppose you are planning to buy a new car. Your planning is never going to be as…
Suppose you have trained a lot of classification models, and your each model is achieving the accuracy of 85 percent. A very simple way to create an even better classifier is to aggregate the predictions…
As one of the most basic functions in programming, loops are an important piece to nearly every programming language. Loops enable developers to set certain portions of their code to repeat through several loops, referred…
You must have seen many articles and tutorials on web scraping. Even I have written an article on it. In this article, I will do something different, that is scraping Instagram with Python. It is…
The general goal of a classification model is to find a decision boundary. The purpose of the decision boundaries is to identify those regions of the input class space that corresponds to each class. In…
Data types are variables that are used to store values. In Python, variables do not need a pre declaration; the declaration of variables in Python happens automatically when we assign any value to a variable.…
Anomaly Detection means detecting unexpected events in the dataset which differ from the norm. Anomaly Detection is very often used in unlabeled data. There are two most important assumptions in the task of Anomaly Detection:…
The Ridge Regression is a regularized version of a Linear Regression. The Ridge Regression enables the machine learning algorithms to not only fit the data but also to keep weights of the model as small…
Machine Translation is one of the most challenging tasks in Artificial Intelligence that works by investigating the use of software to translate a text or speech from one language to another. In this article, I…