I will build machine learning models using python
Python and Machine Learning Freelancer
About this Gig
Looking for a Python machine learning model for your project? I can help!
I build machine learning solutions using Python and Scikit-learn based on your dataset and requirements.
What I can help with:
Data preprocessing
Classification and regression
Predictive modeling
Decision tree and ensemble models
Clustering
Anomaly detection
Model evaluation and optimization
Jupyter Notebook with source code
Packages:
Basic: One ML model with preprocessing, training, and evaluation.
Standard: Multiple model approaches, comparison, and optimization.
Premium: A complete ML workflow including analysis, feature engineering, model comparison, optimization, and documentation.
What you will receive:
Clean and organized Python code
Trained model file when applicable
Evaluation results
Jupyter Notebook
Documentation based on your selected package
Please message me before ordering if your project has complex requirements, a large dataset, multiple targets, or deployment needs. This helps me understand your requirements and confirm the appropriate package.
Programming language:
Python
Frameworks:
Scikit-learn
Tools:
Jupyter Notebook
•
Colab
FAQ
What do you need from me to start the project?
Please provide your dataset, project objective, target variable if known, and any specific requirements or evaluation metrics.
What types of machine learning projects do you handle?
I mainly work with classification, regression, predictive modeling, clustering, and anomaly detection using Python and Scikit-learn.
Which tools and technologies do you use?
I primarily use Python, Scikit-learn, Pandas, NumPy, Jupyter Notebook, and Google Colab.
Will I receive the source code?
Yes. Source code is included with all packages, along with the relevant notebook and documentation based on the selected package.
Can you work with my dataset?
Yes, provided the dataset and requirements fit the selected package. Please contact me first if your project is large or complex.
Do you provide deployment or API integration?
Deployment and API integration are not included in this Gig. Please contact me if you need these services so I can determine whether a custom solution is appropriate.
What does fine-tuning mean in your ML packages?
Fine-tuning refers to hyperparameter tuning for machine learning models, such as optimizing model parameters to improve performance. It does not include LLM or generative AI fine-tuning.
What does API integration include?
API integration means connecting the trained machine learning model to a simple API endpoint, such as a FastAPI or Flask endpoint, so it can receive input and return predictions.

