Solve your problem using machine learning models.

I will help you apply Machine Learning to your data by offering a complete solution—from data preprocessing to model selection and evaluation. First, I’ll analyze your dataset to understand its structure and prepare it through data cleaning, feature engineering, and encoding. Then, I will choose the most suitable ML algorithms based on your problem type (classification, regression, etc.), train multiple models, and evaluate their performance using metrics like accuracy, F1-score, precision, and recall. You’ll receive clean and well-documented code (Jupyter Notebook or Python script), and a summary report explaining the approach, results, and next steps. Optionally, I can also deploy the model with a user-friendly Streamlit interface.