Prediction using Decision Tree Algorithm | LGMVIP- Data Science

Welcome to my video on Prediction using Decision Tree Algorithm as part of the LGMVIP internship program. In this video, we will be exploring the Decision Tree Algorithm and using it to make predictions on a dataset.

Decision Tree Algorithm is a powerful and popular machine learning algorithm used for classification and regression problems. It is a tree-based model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.

We will be using the famous Iris dataset to demonstrate the working of the Decision Tree Algorithm. This dataset contains information about the various attributes of different species of Iris flowers. We will be using the Decision Tree Algorithm to predict the species of the flower based on its attributes.

We will start by exploring the dataset and then preprocess it to prepare it for training. We will then split the dataset into training and testing sets, train our model using the Decision Tree Algorithm, and evaluate its performance on the testing set.

Finally, we will visualize the Decision Tree to gain a better understanding of how it works and how it is making predictions.

So, sit back, relax, and enjoy the video! Don't forget to like, share, and subscribe to my channel for more exciting videos on machine learning and data science.