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I will build a machine learning prediction model in python
Machine Learning and Data Engineering Intern
I am a Software Engineering undergraduate with hands-on experience building machine-learning and data-engineering solutions. I specialize in automated pipelines, SQL-based workflows, and containerized...
About this Gig
I will build a machine learning prediction model in Python based on your dataset and project requirements.
My service can include data preprocessing, feature engineering, model training, testing, optimization, and evaluation using suitable machine learning techniques.
Depending on your selected package, I can provide:
Data cleaning and preprocessing
Machine learning model creation
Model testing and performance evaluation
Feature engineering and fine-tuning
Python source code
Model documentation
API integration for advanced projects
I work with Python, Pandas, SQL, Scikit-learn, and machine learning workflows. I have hands-on experience developing end-to-end prediction systems, automated data pipelines, and analytical dashboards.
The model and evaluation method will be selected according to your data and business objective.
Please contact me before ordering if you have a large dataset, custom requirements, or an advanced integration requirement.
Expertise:
Classification
•
Decision trees
•
Predictive analysis
Programming language:
Python
•
SQL
•
MLflow
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
MLflow
•
Colab
My Portfolio
FAQ
What do you need to start the project?
I need your dataset, project objective, target variable if known, and any specific requirements.
Which file formats can I provide?
CSV and Excel files are preferred. SQL-based datasets can also be discussed before placing an order.
3. Which machine learning models can you use?
The model depends on your data and prediction problem. I can work with suitable regression, classification, Random Forest, Decision Tree, and other appropriate machine learning models.
4. Will I receive the source code?
Yes. Source code is included according to the selected package.
5. Will you explain the model results?
Yes. I can explain evaluation metrics, model performance, predictions, and important findings in clear language.
6. Can you work on a custom machine learning project?
Yes. Please contact me before ordering so I can review the requirements and recommend the most suitable package.
