I will create python ml model with train test evaluation and report
About this Gig
I will build and evaluate a machine learning model in Python for your dataset.
What you get:
Clean Python code (Jupyter/Colab notebook or structured project)
Train/test evaluation with metrics and plots
Clear explanation of results and next steps
How I work:
1. You share your dataset and goal
2. I preprocess the data and train ML model(s)
3. I deliver code, metrics and a short report
Best for:
Classification, regression, prediction tasks
Tabular / scientific datasets, etc.
Student, research, startup ML projects
Please provide:
Dataset (CSV/Excel)
Target column / prediction goal
Preferred metric (if any)
Deadline
Cloud deployment and API setup are not included by default message me first if you need that.
Not sure which package to choose? Send your data and goal, and I will recommend one.
Programming language:
Python
•
Colab
•
Other
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
Other
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
FAQ
Can we discuss custom Machine Learning projects not listed in the packages?
Yes. Message me with your goal, dataset and deadline. I’ll tell you if I can do it and which package (or custom offer) fits best.
Can you build a model if my dataset is small or missing data?
Yes, in many cases. I can clean missing values and build a baseline model but results depend on data quality and size. Share a sample first and I’ll tell you what’s realistic.
Do I get the source code?
Yes. All packages include the Python notebook/source code so you can rerun and reuse the work.

