How to Train AI Models Using Your Own Data
Simran Mishra
Collect High-Quality Data Gather relevant, accurate, and well-structured data that represents the problem you want to solve.
Preprocess & Label Data Clean, format, and label data properly to improve model accuracy and efficiency.
Split Data for Training Divide data into training, validation, and test sets to ensure reliable performance.
Select & Train the Model Choose the right AI model and train it using your dataset while fine-tuning parameters.
Evaluate & Optimize Test the model’s accuracy using key metrics like precision, recall, and F1-score.
Deploy & Monitor AI Integrate your trained model into an application and continuously update it with new data.
