End-to-End Machine Learning Project with Streamlit Frontend Development

We are seeking a skilled freelancer to develop a complete machine learning project, from data acquisition and preprocessing to model deployment with a user-friendly Streamlit frontend. The project will involve the following key stages: 1. Dataset Selection: Identify and utilize a suitable dataset from a trusted source such as Kaggle or similar platforms. 2. Data Preprocessing and Visualization: Perform comprehensive data cleaning, transformation, and feature engineering. Conduct exploratory data analysis, including visualization to identify patterns, distributions, and outliers. 3. Model Development: Implement and train appropriate machine learning models based on the dataset and problem statement. This includes fitting the data, training the model, and rigorous testing. 4. Model Comparison: Evaluate and compare the performance of different models to select the most optimal solution. 5. Streamlit Frontend: Develop a simple, interactive web application using Streamlit to showcase the model's predictions and allow for user interaction. The freelancer will need to review an attached reference file for additional context and specific requirements.