I will build a machine learning prediction model in python with scikit learn
Machine Learning, EDA and Predictive Analytics Developer
About this Gig
Do you have a dataset but no clear predictions or insights from it?
I turn raw data into a working, accurate machine learning model you
can actually use.
What I deliver:
- Data cleaning and exploratory data analysis (EDA)
- A trained model (classification or regression) using Python and
scikit-learn
- Model testing and accuracy report
- Full source code and clear documentation
Example: I built a student performance prediction model using Random
Forest that reached over 80% accuracy.
My focus is classical machine learning: Random Forest, decision
trees, regression, and clustering. I don't currently offer deep
learning or neural network projects, so if your task needs that, message
me first, and I'll let you know honestly if it's a good fit.
Send me your dataset and goal, and I'll tell you exactly what's
possible before you order.
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Panda
•
Other
Tools:
Jupyter Notebook
•
Excel
•
Colab
My Portfolio
FAQ
Just have data and don't know what to do?
No worries. Send me your dataset and goal, and I'll tell you what kind of model fits best (classification, regression, or clustering) before you order.
Don't have data? Will that be okay?
Yes, that's fine. Tell me what you want to predict, and I'll help you find or generate a suitable dataset for the project.
Do you build deep learning or neural network models?
Not currently. I specialize in classical machine learning: Random Forest, decision trees, regression, and clustering with scikit-learn. If your project needs deep learning, message me first, and I'll be upfront about whether it's a good fit.
How long does delivery take?
Basic: 2 days. Standard: 5 days. Premium: 10 days, depending on dataset size and complexity. All packages include unlimited revisions.

