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English
$
USD
I will build python ml models and streamlit apps
AI Developer, Machine Learning Specialist
I am an Artificial Intelligence student and developer focused on building efficient, scalable machine learning solutions. My technical expertise centers on deep learning architectures, specifically de...
About this Gig
Are you looking for a custom Python Machine Learning model or an interactive Streamlit web app?
Most scripts stop at a messy Jupyter Notebook that is hard to use. I build accurate, well-documented Machine Learning models in Python and turn them into clean, clickable Streamlit web applications.
What I Offer:
- Custom ML From Scratch: Linear & Logistic Regression, Gradient Descent (Batch, SGD, Mini-Batch), and custom loss functions using pure Python and NumPy.
- Predictive Models: Regression and Classification models using Scikit-Learn, TensorFlow, Keras, and PyTorch.
- Model Optimization: Data preprocessing, feature scaling, hyperparameter tuning, and loss convergence plots.
- Interactive Streamlit UI: Web dashboards with sliders, file uploads, and live charts to test predictions without touching code.
Why Choose Me:
- Clean, line-by-line commented Python source code (.py or .ipynb).
- Clear evaluation metrics (R2, RMSE, MAE, Accuracy) and visual plots.
- Fast communication and on-time delivery.
Have a smaller task, custom script, or tight budget? Message me before ordering and I will send you a custom offer!
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
•
Other
FAQ
Can you write the algorithm from scratch using only Python and NumPy?
Yes! I can implement Linear/Logistic Regression, Gradient Descent, and custom loss functions from scratch using pure Python and NumPy with step-by-step comments.
What if my task is small and my budget is under $90?
Just send me a message with your dataset or problem details! I can create a custom offer in the inbox tailored to smaller scripts and budgets.
What files will I receive upon delivery?
You will receive the complete commented Python source code (.ipynb Jupyter/Colab notebook or .py files), evaluation plots, and the Streamlit app script with setup instructions.
