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Fiverr Pro
English
$
USD
I will build machine learning models for classification and regression
Data Scientist and Python Developer
Hi! I'm a Data Scientist specializing in Data Analytics, Machine Learning, and Deep Learning. I turn complex into meaningful insights by analyzing raw data, building predictive models, developing inte...
About this Gig
Need a reliable Machine Learning solution for your dataset?
I can help you build and evaluate a machine learning model based on your specific business or project requirements. I focus on clean data, appropriate model selection, and clear results.
What I can help with:
- Data preprocessing and cleaning
- Exploratory Data Analysis (EDA)
- Feature engineering
- Machine learning model development
- Model evaluation and performance analysis
- Model comparison and selection
- Hyperparameter tuning
- Prediction and classification tasks
- Data visualization
- Cloud deployment when required
I work with Python and popular machine learning libraries to build practical and well-structured solutions.
Whether you need a model for a business project, academic project, or data-driven application, feel free to contact me before placing an order so we can discuss your requirements.
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
APIs:
Other
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
Q: What information do you need to start the project?
A: I need your dataset, project requirements, and any specific goals or instructions you have.
Q: Can you work with my dataset?
A: Yes. I can work with common formats such as CSV and Excel, depending on the project requirements.
Q: What types of Machine Learning problems do you handle?
A: I can work on common regression and classification problems and select a suitable model based on your data.
Q: Will you explain the model results?
A: Yes. I provide clear evaluation results and explain the key findings in simple terms.
Q: Should I contact you before placing an order?
A: Yes, contacting me first is recommended so we can discuss your dataset, requirements, and the appropriate package.
