Lecture 86: Machine Learning: Support Vector Machine: SVM on Titanic Dataset using Python
Автор: Machine & Deep Learning: From Learning to Hiring
Загружено: 2025-12-18
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In this video, we explore how to implement a Support Vector Machine (SVM) model on the Titanic dataset using Python. The Titanic dataset is a well-known dataset used in machine learning for classification tasks, and in this tutorial, we’ll guide you step-by-step on how to apply an SVM to predict survival. We’ll cover data preprocessing, feature selection, and the training process using scikit-learn. By the end of this video, you'll understand how to implement SVM for classification problems and gain insights into working with real-world data.
The link for folder containing all the Support Vector Machine Classifier codes and datasets can be found in the comments
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