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#scikit-learn

Before we begin make sure you check the previous article in this series here How do we know if our models are learning well or not? How do we measure their performance and improvement over time? How d…

Purpose A Support Vector Machine is a prevalent and widely used machine learning model. It helps perform linear and non-linear classification, regression, and outlier detection. SVMs are particularly …

Building a recommendation system can seem like a daunting task, but with the right tools and knowledge, it can be a fun and rewarding experience. In this tutorial, we will be building a simple recommendation system using the popular library…

Look at the Big Picture Frame the problem Mục tiêu của dự án là gì? Có thể build ML prediction model chưa phải là mục tiêu cuối, nó chỉ là công cụ hỗ trợ cho business nào đó tốt hơn. Biết được điều đó…

TensorFlow is an open-source software library for machine learning and deep learning, developed by Google. It allows for the creation of complex models and the efficient computation of numerical operations on large datasets. TensorFlow is u…

Deliverable Credit Card Fraud detectection This article describes my machine learning project on credit card fraud. If you are interested in the code, you can find my notebook here. Introduction Ever …

Index What is model evaluation? Different methods of evaluating your classification model How to evaluate your model using Scikit-learn metrics? Conclusion What is model evaluation? Let's say …

Some of you might remember the classic traveling salesman problem presented in our undergrad days: "Given a list of cities and the distances between each pair of cities, what is the shortest possible …