Deep Learning Model
Deep Learning Models are a subset of machine learning that uses artificial neural networks to learn complex patterns from large amounts of data. They are particularly effective for tasks like image and speech recognition, natural language processing, and more.
Data Preparation for Deep Learning:
Clean and Preprocess Data: Handle missing values, outliers, and inconsistencies.
Normalize or Standardize: Scale features to improve model performance.
Format Data: Create a CSV file with clear column headers for features and a target variable.