I will build a machine learning model for prediction using python
About this Gig
Are you looking for a reliable Machine Learning expert to build accurate, production-ready models for your data?
I'm a Python-based Data Scientist specializing in building and fine-tuning ML models using Scikit-learn, XGBoost, and Pandas. I have hands-on experience solving real-world problems like price prediction, classification, and demand forecasting.
What I offer:
- Data cleaning & preprocessing
- Model building (Regression, Classification, Clustering)
- Hyperparameter tuning for best accuracy
- Model evaluation with clear metrics (R², Accuracy, F1-score)
- Well-documented, clean code
Recent project: Built an Automobile Price Prediction model using XGBoost, achieving an R² score of 0.94 with an average prediction error of just $1,700 trained and compared across 10 different regression models.
I use Jupyter Notebook, Excel, Scikit-learn, and Pandas to deliver reliable, well-tested models tailored to your dataset.
Let's discuss your project message me before ordering if you have a custom dataset or specific requirements!
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Excel
•
Colab
My Portfolio
FAQ
Do you need my dataset before I place an order?
Not necessarily, but if you have a specific dataset, please share it via message before ordering so I can confirm feasibility and give you an accurate timeline.
Which algorithms do you use for model building?
I use Scikit-learn based algorithms like Linear/Logistic Regression, Decision Trees, Random Forest, K-Means, and XGBoost, depending on your data and problem type.
Will I get the source code?
Source code is included in the Standard and Premium packages. It's not included in Basic, but can be added as an extra.
What format will I receive the final deliverable in?
A: You'll receive a Jupyter Notebook (.ipynb) file with clean, commented code, along with an evaluation report explaining the model's performance.
Can you work with a dataset in Excel or CSV format?
Yes, I can work with datasets in CSV, Excel, or most common tabular formats.

