Category: Machine Learning
8 Steps to Build a Machine Learning Model
In this article, we will see the steps in machine learning model formation. Let us first understand what is Machine Learning. It is a field…
Detect Eyes and Detect Faces in Python
Welcome to violet-cat-415996.hostingersite.com, In this article, we will see how to Detect Eyes and Detect Faces in Python using the very famous library OpenCV. So,…
Customer Segmentation using Python in Machine Learning
MAIN PROJECT Customer Segmentation is an unsupervised method of targeting the customers in order to increase sales and market goods in a better way This…
Titanic Survival Prediction – Machine Learning Project (Part-2)
In Part-1, we’ve covered how to get started with your first machine learning project on Kaggle. Firstly, we saw how to import necessary libraries, then…
Titanic Survival Prediction – Machine Learning Project (Part-1)
Hey, everyone! Today we’re going to work on our first Machine Learning Project and that is “Titanic Survival Prediction”. It’s going to be a really…
Random Forest in ML: Wisdom of the Crowd
We’ve learned about some algorithms in machine learning via which we can solve classification and regression problems. In the previous article, we learned how decision…
K Nearest Neighbours|KNN: One of the Earliest ML Algorithm
Until now we already have a pretty good grasp of how things work when it comes to regression and classification. Today let’s take a ride…
Decision Tree: Foundation of Powerful ML Algorithms
By now you have a good grasp of how you can solve both classification and regression problems by using Linear and Logistic Regression. But in…
Logistic Regression: Regression Model for Classification
We will discuss Logistic Regression: Regression Model for Classification in this article, but let us see what we did in the past couple of articles,…
Gradient Descent: Another Approach to Linear Regression
In the last tutorial, we learned about our first ML algorithm called Linear Regression. We did it using an approach called Ordinary Least Squares, but…