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$
USD
I will build a custom machine learning model for prediction and classification
UI UX Designer, Web and Mobile App Developer, Integrating AI features
Hi, I’m Sana—a Google & Microsoft Certified UI/UX Designer and Web and Mobile App Developer. I specialize in designing and developing SaaS products and MVPs across web and mobile platforms. Whether yo...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Have a dataset but need a working Machine Learning model? I can help.
I'll turn your data into a clean, well-structured ML solution built around your specific prediction or classification problem.
What I can build:
- Classification & regression models
- Prediction & forecasting models
- Data cleaning & preprocessing
- Feature engineering & selection
- Model training & comparison
- Hyperparameter tuning
- Model evaluation & performance analysis
What you will receive:
- Trained ML model
- Clean, well-structured Python code
- Jupyter Notebook with explanations
- Evaluation metrics & visualizations
- Confusion matrix / ROC-AUC where applicable
- Model file ready for future predictions
I use Python, Pandas, NumPy and Scikit-learn to build practical solutions, not just a basic notebook.
Have a CSV, Excel file, or existing dataset? Send it to me and tell me what you want to predict. I will review your requirements and recommend the right approach.
Please message me before ordering so I can understand your dataset and project requirements.
Programming language:
Python
•
SQL
•
Colab
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Excel
•
Colab
My Portfolio
FAQ
Can you work with my own dataset?
Yes. I can work with CSV, Excel, SQL, or similar structured datasets. I'll review your data and choose an appropriate ML approach based on your prediction or classification goal.
Do I need to know which machine learning algorithm I need?
No. You only need to explain what you want to predict or classify. I'll recommend suitable algorithms and select the best-performing approach based on your data.
What will I receive after the project?
You'll receive the trained ML model, clean Python source code, Jupyter Notebook, evaluation results, and relevant visualizations. Documentation is included in Standard and Premium packages.
Can you improve the accuracy of my existing model?
Yes. I can analyze your existing model, improve preprocessing and features, compare algorithms, and fine-tune parameters where appropriate. Results depend on the quality and characteristics of your dataset.
Can you deploy or integrate the ML model?
Yes. Premium includes API integration and cloud deployment assistance, allowing your trained model to be connected to an application or prediction interface.
