Predicting CS:GO Round Winner with Machine Learning

Today we are going to use the CS:GO dataset to build a machine learning model, which predicts the winner of a round given the currently available information. Dataset: https://www.openml.org/search?type=data&sort=runs&id=43430&status=active ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm 🎵 Outro Music From: https://www.bensound.com/ Timestamps: (0:00) Intro (0:21) Downloading Dataset (4:00) Extract Attributes & Data (9:30) Data Preprocessing (22:20) K-Nearest-Neighbors Classification (28:00) Random Forest Classification (30:32) Neural Network Classification (36:31) Outro