## Machine Learning for Healthcare Analytics Projects: 8 Interesting use-cases

In this article, we have discussed 8 real-time machine learning for healthcare analytics projects.

In this article, we have discussed 8 real-time machine learning for healthcare analytics projects.

In this article, we have demonstrated step-by-step medical insurance premium prediction using machine learning in Python using the open-source dataset available on Kaggle.

In this article, we have demonstrated how we can perform breast cancer prediction using a machine learning algorithm support vector machine for predicting if the breast cancer diagnosis is benign or malignant.

In this article, we will discuss step by step how linear regression can be applied to predict sales from advertising ads dataset.

This tutorial focuses on regression, where we will use a real-time case study on a bike-sharing scheme to predict the number of bike shares based on weather conditions and seasonality.

In this article, we’ll break down the concept of linear regression in a more understandable way and explain how it works. We’ll also discuss some of its applications, limitations, and assumptions, so you can better understand how to use it in your projects.

Introduction Transfer learning has become an essential aspect of deep learning in recent years. It involves leveraging pre-trained models on …

In this article, we will demonstrate the use of logistic regression for predicting Chronic Kidney Disease in a step-by-step approach

Learn the definition and examples of logistic regression, a statistical model used to analyze relationships between variables.

Peer-to-peer lending is the digital marketplace, where borrowers are mapped with investors willing to lend money in the form of …