Full Cycle Machine Learning Development

End-to-End Machine Learning Project Development
I am looking for an experienced Machine Learning developer to build a complete ML project from scratch. The project should include:

Problem Statement: [Write here — e.g., Predicting customer churn, detecting financial fraud, image classification, sentiment analysis, etc.]

Dataset: Freelancer can use a public dataset or help collect/clean one.

Model Development: Data preprocessing, feature engineering, model selection, training, and optimization.

Evaluation: Provide metrics (accuracy, precision, recall, F1-score, etc.) and model performance analysis.

Deployment: (Optional) Deploy the model via a web app or API using Flask, Django, or Streamlit.

Deliverables:

Source code (Python, Jupyter Notebook, etc.)

Dataset (or link to dataset)

Documentation (steps, libraries used, model details, and instructions to run)

(Optional) Deployment link or local app
Required Skills:

Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)

Data preprocessing and EDA

Model training & optimization

API/Web deployment experience (optional)
Example Problem Statements you can use:

Predicting credit card fraud using ML

Flight delay prediction using historical flight data

GIVE ME THE BEST MACHINE LEARNING PROJECTS AND IDEAS AND APPLICATION IF I LIKE IT I WILL HIRE