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Disease Prediction Using Machine Learning

Learn how to build and train machine learning models for disease prediction. This session covers end-to-end steps for training robust prediction models using real-world health data. Setting up your environment for disease prediction projects Exploring healthcare datasets for model training Data preprocessing and feature engineering techniques Choosing and evaluating machine learning algorithms Splitting data into training and testing sets Hyperparameter tuning and model optimization Interpreting model performance metrics Tips for improving disease prediction accuracy This tutorial is ideal for those interested in data science, healthcare analytics, and machine learning. #MachineLearning #DiseasePrediction #DataScience