I will build a machine learning prediction app with python and streamlit
Machine Learning and Data Science
About this Gig
I will build a practical machine learning solution from your dataset with an interactive prediction interface for real-world use.
What I provide:
- Data preprocessing and feature preparation
- Classification or regression model development
- Model testing and performance evaluation
- Model optimization and fine tuning
- Interactive prediction app using Streamlit
- Source code and model documentation
Suitable for sales prediction, price prediction, customer churn, classification, regression, and predictive analytics.
I use Python, Pandas, NumPy, Scikit-learn, Jupyter Notebook, and Streamlit to develop and evaluate machine learning models.
The final app allows users to enter relevant values and receive predictions through a simple interactive interface.
Please contact me before ordering with your dataset and prediction goal so I can confirm the scope.
Programming language:
Python
Frameworks:
Scikit-learn
Tools:
Jupyter Notebook
•
Colab
My Portfolio
FAQ
What types of prediction models can you build?
I can build classification and regression models for use cases such as sales, price, churn, risk, and other predictive analytics problems.
Will I receive a prediction interface?
Yes. The included application can be built as an interactive Streamlit prediction app where users enter inputs and receive predictions.
What data do you need?
You should provide a historical dataset, the prediction target, and the expected input fields. CSV or Excel is preferred.
Can you improve an existing machine learning model?
Yes. I can evaluate an existing model, review preprocessing and features, compare models, and perform optimization or fine tuning.
Do you provide API or website integration?
No. This Gig focuses on the machine learning model and Streamlit prediction interface. API development, cloud deployment, and website integration are outside the standard scope.
Can you work with my specific prediction problem?
Yes. Send your dataset and prediction goal before ordering so I can confirm whether the project fits the Gig.

