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I will build custom machine learning models in python for prediction and classification
Applied AI Engineer
I'm an Applied AI Engineer focused on practical AI applications and machine learning solutions.
Using Python, scikit-learn, and Streamlit, I build predictive models and interactive ML applications. M...
About this Gig
Need a machine learning model for prediction or classification?
I build custom Machine Learning models in Python using pandas and scikit-learn, with development in Jupyter Notebook or Google Colab.
What I can help with
- Classification and regression
- Data cleaning, preprocessing, and feature engineering
- Model training, evaluation, and hyperparameter tuning
- Model comparison using appropriate performance metrics
What you'll receive
A trained model, relevant evaluation results, source code, and documentation. The Basic package covers one model. Standard compares up to 2 models and tunes the selected model. Premium compares up to 3 models and includes a reusable preprocessing-and-prediction pipeline with an evaluation report.
Before ordering
Share your dataset, target column, and prediction goal so I can confirm your requirements and recommend the suitable package.
Please note: Model performance depends on data quality and problem complexity; specific accuracy cannot be guaranteed. Packages cover manageable tabular-data tasks using classical ML. Deep learning, computer vision, and complex projects require separate scoping. API integration and cloud deployment are optional extras.
Programming language:
Python
Frameworks:
Scikit-learn
Tools:
Jupyter Notebook
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What do you need from me to start?
Please provide your dataset, prediction or classification goal, target column (if applicable), and any specific requirements. Contact me first if you're unsure about your dataset.
What types of machine learning problems do you handle?
I work on classification and regression tasks using Python and scikit-learn, including prediction problems involving structured, tabular data.
Which package should I choose?
Basic includes one trained model. Standard compares up to two models and tunes the selected model. Premium compares up to three models and includes a reusable ML pipeline and evaluation report.
What will I receive after completion?
You'll receive the trained model, source code, relevant evaluation results, and documentation or usage instructions according to your selected package.
Can you guarantee a specific model accuracy?
No. Model performance depends on data quality, available features, and problem complexity. I'll evaluate the model using metrics appropriate to your task.
Do you provide API integration and cloud deployment?
Yes, these are available as separately scoped extras. Please share your requirements and target environment before ordering so I can confirm feasibility and cost.
Can you handle large datasets or complex AI projects?
Large datasets, deep learning, computer vision, and complex projects are outside the standard packages. Contact me to discuss the requirements and determine whether a custom offer is suitable.
Do I need to preprocess my data before ordering?
No. Basic preprocessing is included according to your selected package. Please provide your dataset and target column. Extensive cleaning or combining multiple datasets may require a custom scope.
Which tools and environment do you use to build and test the model?
I use Python, pandas, and scikit-learn, working in Jupyter Notebook or Google Colab. Testing methods and evaluation metrics depend on the task. Please mention any specific environment requirements before ordering.
What data cleaning and preprocessing are included?
I handle routine preprocessing, such as common missing values, duplicates, formatting, and required encoding or scaling. Extensive data repair, manual labeling, or complex transformations may require a separate scope.
