I will build machine and deep learning models using python
I will clean and visualize your data, design UI, and build ML models
About this Gig
Welcome to my Machine Learning & AI Gig!
Are you looking for a professional to build, train, and deploy powerful machine learning models using Python and top ML frameworks like Scikit-learn, Keras, and PyTorch? You're in the right place!
As a Data Scientist with hands-on experience, I will help you solve real-world problems using advanced ML techniques, whether its for classification, regression, clustering, or deep learning tasks.
My Services Include:
- Data preprocessing and cleaning
- Feature selection and engineering
- Model building using Scikit-learn, Keras, PyTorch
- Hyperparameter tuning
- Evaluation and performance optimization
- Streamlet app deployment (if needed)
- Google ML Kit / Mobile-ready models (on request)
Why Choose Me?
High-quality, well-commented code
Clear visualizations and explanations
Fast delivery and excellent communication
Custom solutions tailored to your dataset
Whether you're working on an academic project, business prototype, or app integration, I'm here to help you achieve your ML goals.
Contact me before placing an order for a quick discussion!
My Portfolio
FAQ
Q: What kind of machine learning problems can you solve?
A: I can handle a wide range of ML problems, including classification (spam detection, fraud prediction), regression (price prediction), and clustering (customer segmentation), using Python.
Q: Can you help me deploy my model or app?
A: Yes! I can help you deploy your model using Streamlit or Flask, or integrate it with Google ML Kit for mobile applications.
Q: Will you explain the code and the logic?
A: Absolutely! I provide well-documented code and can include a walkthrough or explanation as per your need.
Q: Can I get help with a university assignment or capstone project?
A: Yes, I offer full support for academic projects, but I do not take tests or exams.
Q: What if I’m not satisfied with the work?
A: I offer free revisions (within reason) to ensure you're 100% satisfied with the final product.

