I will build end to end machine learning project
About this Gig
I will create machine learning solutions using Python for prediction, classification, regression, and data analysis tasks. The projects are built with proper preprocessing, model evaluation, and structured workflows to create reliable and practical ML systems.
Basic Plan : ML model development with preprocessing, training, evaluation, and prediction outputs. Deliverables include source code, notebook/script, cleaned dataset, and model results.
Standard Plan : Interactive ML application with Streamlit UI, visualizations, preprocessing pipeline, and prediction system. Deliverables include source code, Streamlit app, visualizations, and documentation.
Premium Plan : Complete end to end ML system with FastAPI backend, Streamlit frontend, modular architecture, and API integration. Deliverables include frontend, backend API, source code, ML pipeline, and setup documentation.
Feel free to contact me before placing an order to discuss your project requirements.
Expertise:
Classification
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Churn
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Predictive analysis
Programming language:
Python
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SQL
Frameworks:
Scikit-learn
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Panda
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Other
Tools:
Jupyter Notebook
•
Excel
My Portfolio
FAQ
What types of machine learning projects do you work on?
I work on classification, regression, prediction systems, data analysis, preprocessing pipelines, and interactive ML applications using Python.
What technologies do you use?
I mainly use Python, scikit-learn, Pandas, NumPy, Matplotlib, Streamlit, and FastAPI depending on project requirements.
Do you deploy projects to cloud platforms?
I can provide deployment guidance and setup instructions, but full production cloud deployment may require custom discussion.
Can you build interactive ML applications?
Yes. The Standard and Premium plans include interactive ML applications using Streamlit for predictions and visualizations.
Should I contact you before placing an order?
Yes. Discussing the project requirements beforehand helps define the scope properly and ensures the best results.

