India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Logistic Regression is a statistical model used for binary classification. It's named “Regression” because it is based on “Linear Regression”
Here, we will understand the basics of Deep Learning by deploying a neural network that in a flower image classification project on MATLAB.
Learn the differences between binary, multi-class and multi-label classification. Explore real-life examples to clarify these concepts.
In this article, we will understand the Evaluation Metrics For Classification Model. This concept helps you choose the right models
In this article, we will focus on text-based news classifier and try to build a model that will help us in detecting fake news with NLP.
In this blog, we will be discussing image classification among the images of hand gestures of rock, paper, and scissors using a VGG-19 model
In this article, our objective is to classifying sexual harassment stories available online. , we will be using a machine learning model.
In this article, we are going to explain a project on how to perform speech emotions recognition using convolutional neural network.
In this article, we will see how we can use a simple neural network in a multi-class classification problem With FIFA - 19 players dataset.
In this article we will develop a logistic regression model for Titanic survival prediction. We will also analyze the given Titanic dataset.
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