Скачать или смотреть Deep Learning Essentials: One-Hot Encoding, Scaling & Splitting Data for Neural Networks

Course link:https://aicourse.thinkific.com/course...
0:00 – Data Analysis NN Implementation
05:35 – One Hot Encoding (NN Implementation)
08:52 – Scaling the Data (NN Implementation)
10:43 – Splitting the Data (NN Implementation)
15:42 – Helper Functions (NN Implementation)
In this video, we cover some of the most important data preprocessing steps for building deep learning models. You'll learn how to apply One-Hot Encoding to categorical data, scale your features using standard techniques, and split your dataset properly for training and testing neural networks. These steps are essential for ensuring your model performs accurately and efficiently. Whether you're a beginner or brushing up on your machine learning pipeline, this tutorial offers a clear and practical walkthrough using Python. Get ready to prepare your data like a pro for any deep learning project!
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