1- Binary Classification Using Machine Learning | Data Preparation

In this video, we will preprocess and prepare the dataset into train, validation, and test set so that we can feed the data into machine learning algorithm ** Code and Resources: ** Dataset: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope Python Code: https://github.com/anumfatima427/AI_projects_for_everyone/blob/main/1-binary-classfication-using-ml-algorithms.ipynb Article related to train, valid, test set: https://machinemindscape.com/how-to-choose-our-train-validation-and-test-sets/ ** Contents ** - 0:00 intro - 0.24 MAGIC Gamma Dataset Description - 2:47 Intro to Kaggle - 3:53 Uploading Dataset - 5:23 Dataset preparation using Python - 11:05 Train, valid, test split - 14:41 Scale and Balance data - 18:43 Outro 🔔 Subscribe: Don't miss out on future tutorials, tips, and insights! Subscribe to our channel and hit the notification bell to stay updated. 📌 Visit My Blog: For more tutorials, articles, and resources, visit my blog at https://machinemindscape.com/ 👍 Connect: Have questions or suggestions? Leave a comment below