Category Archives: Machine Learning

In this article, we are going to learn about different hyperparameters that exist in a Random Forest Classifier. We have already learnt about the implementation… Read More
In this article, we will discuss the implementation of Polynomial Regression using Turicreate. Polynomial Regression: Polynomial regression is a form of regression analysis that models… Read More
According to the Harvard Business Review, Data Scientist is “The Sexiest Job of the 21st Century”. Is this not enough to know more about data science! Introduction… Read More
In this article, We are going to see how to plot (visualize) a neural network in python using Graphviz. Graphviz is a python module that… Read More
Introduction: Experts expect Artificial Intelligence (AI) to work towards creating a better life to live. They say as more computation power will be available in… Read More
In order to learn about Backpropagation, we first have to understand the architecture of the neural network and then the learning process in ANN. So,… Read More
Tableau is a software used for data visualization and analysis. it’s a tool that can make data-analysis easier. Visualizations can be in the form of… Read More
Do you want to achieve ‘the-state-of-the-art’ results in your next NLP project? Is your data insufficient for training the machine learning model? Do you want… Read More
In many placement exam rounds, we often encounter a basic question to find word analogies. In the word analogy task, we complete the sentence “a… Read More
Machine learning is a scientific field that offers computers the ability to learn without being programmed directly. When many learners, students, engineers, and data scientists… Read More
Support Vector Machine(SVM) is a supervised machine learning algorithm used for both classification and regression. Though we say regression problems as well its best suited… Read More
The biological neural network has been modeled in the form of Artificial Neural Networks with artificial neurons simulating the function of a biological neuron. The… Read More
What is PCA? The main guiding principle for Principal Component Analysis is FEATURE EXTRACTION i.e. “Features of a data set should be less as well… Read More
Odd One out the problem is one of the most interesting and goto problems when it comes to testing the logical reasoning skills of an… Read More
Motivating Explainable AI The vast field of Artificial Intelligence(AI) has experienced enormous growth in recent years. With newer and more complex models coming each year,… Read More