Binary Prediction of Poisonous Mushrooms | Kaggle Data Science Project

In this video, I walk you through the process of building a machine learning model for a Kaggle competition, from data preprocessing to submitting the final predictions. We'll start by exploring the dataset, handling missing values, and encoding categorical features. Then, I'll show you how to use PyTorch to create a neural network model, train it, and evaluate its performance. Finally, we'll generate a submission file and submit it to Kaggle. Whether you're new to data science or looking to improve your skills, this tutorial will provide valuable insights into the end-to-end process of tackling a Kaggle competition. Don't forget to like, share, and subscribe for more data science tutorials! 🚀 Links: Kaggle Competition: https://www.kaggle.com/competitions/p... Comment your email id for the code. 💡 Support the Channel If you enjoy my content and would like to support the channel, consider making a donation! Your contributions help me keep creating valuable videos and improving the quality of the content. How You Can Donate: UPI: (UPI id - 9380423907@axl) Buy Me a Coffee: A simple way to support my work with a small contribution - https://buymeacoffee.com/manojajj Every little bit helps, and I'm grateful for your support. Thank you! #kaggle #datascience #machinelearning