In order to be successful in normal distribution interviews, you need a solid understanding of the normal distribution. This blog…
In hypothesis testing, the level of significance is a measure of how confident you can be about rejecting the null…
Many describe p-value as the probability that the null hypothesis holds good. That is an incorrect definition. The concept of…
This article describes Type I and Type II errors made due to incorrect evaluation of the outcome of hypothesis testing,…
In e-commerce, machine learning can be used to improve a number of decisions thereby resulting in creating a positive business…
Cybersecurity professionals are increasingly finding cybersecurity machine learning use cases in their work. The reason for this is that cybersecurity…
Matplotlib is a matlab-like plotting library for python. It can create both 2D and 3D plots, with the help of…
Customer churn is a prevalent problem for many businesses. It can happen in several different ways, such as when customers…
In K-means clustering, elbow method and silhouette analysis or score techniques are used to find the number of clusters in…
This blog post will walk you through the steps needed to install Altair graphical libraries in Jupyter Notebook. For data…
Machine learning is a type of machine intelligence that enables computers to learn and improve without being explicitly programmed. It's…
Google cloud platform (GCP) automl services are a set of google cloud platform products with a focus on machine learning…
Are you interested in learning about AI and Machine Learning, or refresing your concepts? NIT Warangal offers one-week online paid…
In today's world, ML (machine learning) engineer and Data scientist are two popular job positions. These positions have a lot…
Convolutional neural networks (CNNs) are a type of deep learning algorithm that has been used in a variety of real-world…
Support Vector Machine (SVM) is a machine learning algorithm that can be used to classify data. SVM does this by…